cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/n9m-xb3-ynp
title: Trypanites sozialis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z3j-mx3-0s7
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/918-th8-wb3
title: Halite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gcz-ctk-lts
title: marble

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.bb7gp2
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.8054 8.32746,-78.98368 2.87321,-76.39039 2.84565,-76.3266 8.25021,-78.8054 8.32746))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidochelys olivacea (Eschscholtz, 1829)",
 "Year 2005-2025"
 ]
}

 The dataset includes 122 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009475-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fsjz6gf4xv
title: Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer using Nuclear magnetic resonance-based Urine Metabolomics and Self-organizing maps

description: Raw data from urine samples of "Predict Response to Neoadjuvant Chemotherapy for Triple Negative Breast Cancer using Nuclear magnetic resonance-based Urine Metabolomics and Self-organizing maps"
DOI: 10.17632/svk5696h8d
title: Scrapnet

description: The dataset supporting the ScrapNet paper: ScrapNet: An Efficient Approach to Trash Classification
DOI: 10.25582/data.2024-03.3077149/2540940
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/hk3-90x-yp2
title: Trypanites sozialis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pv0-9gt-enx
title: Tourmaline

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/n9l-dv5-shd
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tth-g8h-we9
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1136081_d107
title: Ex3R43C3 NR2B-7 from Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.

description: This data represents repeated immunohistochemical staining and stripping (elution) cycles of an array tomography tissue ribbon from mouse barrel cortex following chessboard deprivation. Included are images from consecutive 70 nm serial sections aligned to produce a high-resolution volumetric reconstruction of a given antibody stain.
DOI: 10.17632/cfzrygj65d
title: A Maple package for improved global mapping forecast

description: Abstract We present a Maple implementation of the well known global approach to time series analysis and some further developments designed to improve the computational efficiency of the forecasting capabilities of the approach. This global approach can be summarized as being a reconstruction of the phase space, based on a time ordered series of data obtained from the system. After that, using the reconstructed vectors, a portion of this space is used to produce a mapping, a polynomial fitting, throug... Title of program: TimeS Catalogue Id: AERW_v1_0 Nature of problem Time series analysis and improving forecast capability. Versions of this program held in the CPC repository in Mendeley Data AERW_v1_0; TimeS; 10.1016/j.cpc.2013.12.001 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.3535/8k3-sts-qt1
title: Hematite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h3j-256-p00
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/gyjzypg7yw
title: Wet market waste water COD and Ammonium nitrogen removal dataset Jadavpur University

description: Wet market waste water COD and Ammonium nitrogen removal data in Civil Engineering departmental laboratoty, Jadavpur University
DOI: 10.25582/data.2024-03.3077155/2540941
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/0te-lzc-ezn
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cfn-6rw-w44
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/5t35sh2fvk
title: Plant growth under weathered coal conversion products

description: Plant growth data under the addition of weathered coal conversion products
DOI: 10.3535/mkb-2yb-ehd
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yyb-jyh-49p
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/gx9tm5mmrk
title: LINF_070012500

description: Protein kinase (STE family); Leishmania infantum (strain JPCM5)
DOI: 10.3535/lg0-l9s-vrm
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rnc-6ck-2p9
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3077157/2540942
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/gw1-4rk-qcj
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/d03-937-p7r
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ted-sjp-s54
title: Tremolite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yft-44r-1rl
title: Malachite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/9pb6fjtdgy
title: ambient noise adjoint tomography in makran region 

description: Here we present used and obtained data including initial and refined models, synthetic and observed surface wave green function and adjoint sources of our ambient noise adjoint tomography study on the Makran region.
DOI: 10.3535/lzx-czq-vbj
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3077158/2540943
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/krn-p36-z62
title: Malachite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ys5-d4m-xjf
title: †Strophomenidae King, 1846

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9aj-q8p-nqr
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dhn-pcp-p95
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.c.3629891_d5.v1
title: Additional file 4: of Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle

description: Genes within 1Â Mb region centering significant single nucleotide polymorphisms (SNP). Candidate genes were obtained from the Ensemble database by querying the SNP locations against the bovine UMD3.1 genome assembly using the SNP annotation tool in the NGS-SNP suite. (CSV 1037 kb)
DOI: 10.3535/14s-94n-wqb
title: †Plectambonitoidea Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/t6mbkrmffh.3
title: Metabolomic profiling of neat uterine luminal fluid in cows: Local enrichment and nutritional modulation

description: Raw data from targeted mass spectrometry of uterine fluid and blood of cows are provided. In the first experiment, the metabolome of blood plasma was compared to that of uterine fluid for lactating dairy cows at day 50 of ges tation. In the second experiment, uterine fluid and blood plasma were collected from Angus and Brahman beef cows at day 0 and 7 of the estrous cycle. Cows were fed a bolus of rumen-protected methionine or control bolus 12 hours before collection.
DOI: 10.15468/dl.6af5mv
title: Occurrence Download

description: A dataset containing 183251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Callinectes sapidus",
 "Year 1974-2025"
 ]
}

 The dataset includes 183251 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002869-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dcxnsb3vj4
title: SUICIDALITY DATA

description: Utilising a cross-sectional survey design, 430 university students selected through a multistage sampling method completed the Problem Gambling Severity Index (PGSI), the Schutte Emotional Intelligence Scale (SEIS) and the Suicidal Ideation Scale (SIS). Mediation and moderated mediation analyses were examined utilising the PROCESS macro (Models 4 and 7) with 5,000 bootstrap resamples.
DOI: 10.17632/dcxnsb3vj4.1
title: SUICIDALITY DATA

description: Utilising a cross-sectional survey design, 430 university students selected through a multistage sampling method completed the Problem Gambling Severity Index (PGSI), the Schutte Emotional Intelligence Scale (SEIS) and the Suicidal Ideation Scale (SIS). Mediation and moderated mediation analyses were examined utilising the PROCESS macro (Models 4 and 7) with 5,000 bootstrap resamples.
DOI: 10.15468/dl.8w8spv
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave guiengola"
 ]
}

 The dataset includes 62 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002913-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t5gtdt9ntm
title: : A Semantic and Grammatical Translation Model Proposal for the Original Unpointed Qur'anic Text Using Artificial Intelligence

description: This dataset accompanies the research article “A Semantic and Grammatical Translation Model Proposal for the Original Unpointed Qur’anic Text Using Artificial Intelligence.” 
It contains structured and annotated research materials used to design and evaluate an AI-supported semantic and grammatical translation framework for the original unpointed Qur’anic text. 
The dataset includes the unpointed Qur’anic corpus, morphological and semantic tagging files, tokenizer scripts, AI model parameters, and translation output samples. 
This record serves as a foundation for computational Qur’anic linguistics and allows replication, verification, or extension of the translation experiments described in the associated publication.
DOI: 10.17632/t5gtdt9ntm.1
title: : A Semantic and Grammatical Translation Model Proposal for the Original Unpointed Qur'anic Text Using Artificial Intelligence

description: This dataset accompanies the research article “A Semantic and Grammatical Translation Model Proposal for the Original Unpointed Qur’anic Text Using Artificial Intelligence.” 
It contains structured and annotated research materials used to design and evaluate an AI-supported semantic and grammatical translation framework for the original unpointed Qur’anic text. 
The dataset includes the unpointed Qur’anic corpus, morphological and semantic tagging files, tokenizer scripts, AI model parameters, and translation output samples. 
This record serves as a foundation for computational Qur’anic linguistics and allows replication, verification, or extension of the translation experiments described in the associated publication.
DOI: 10.17632/vkgskpr9rv
title: Would you lie for me

description: Dataset for "Would you lie for me? Lying behavior in a principal-agent relationship"
DOI: 10.17632/vkgskpr9rv.1
title: Would you lie for me

description: Dataset for "Would you lie for me? Lying behavior in a principal-agent relationship"
DOI: 10.17632/jmnk6vkdy2.1
title: IPO Automation

description: The dataset comprises detailed financial and market data related to companies planning or having conducted Initial Public Offerings (IPOs). It includes identifiers such as the serial number and company name for reference purposes. Key financial metrics like Current Market Price, Price-to-Earnings (P/E) ratio, Market Capitalization, Dividend Yield, and Return on Capital Employed (ROCE) provide insight into the valuation, profitability, and operational efficiency of these companies. Performance indicators such as Net Profit of the last quarter, Quarterly Profit Variation, Quarterly Sales, and Sales Variation track recent growth trends, helping to assess momentum and financial health. IPO-specific features like Issue Price, Listing Price, Listing Premium or Discount, and Current Returns offer information regarding the pricing strategy and the market's reception of the IPO. The dataset also includes a Classification feature that categorizes companies by sector or business type, aiding comparative analysis. Together, these features form a comprehensive profile that allows in-depth evaluation of IPO candidates. This dataset is invaluable for building predictive models to assist investors and analysts in deciding whether to apply for or invest in an IPO, by leveraging company fundamentals, historical financial performance, and market data. Its richness and diversity in feature types enable robust machine learning applications aimed at forecasting IPO success or suitability for investment.
DOI: 10.2909/ed213589-0412-40aa-a31f-086dd5bdefba
title: Economic losses from climate-related extremes in Europe (1980-2024), Oct. 2025

description: This metadata considers the 2024 data including the year 2010 Euro equivalent values as a baseline on total and insured economic losses and the number of fatalities from weather- and climate-related events in EU Member States and EEA member countries since 1980. Weather- and climate-related hazards considered are those types classified as meteorological hazards (e.g. storms), hydrological hazards (e.g. floods) and climatological hazards (e.g. heatwaves) based on the classification by the International Council for Science (ICSU). The geophysical hazards (e.g. earthquakes and volcanoes) are included for comparison purposes. An event can occur in several countries, but the information is split per country.

The data is based on the RiskLayer CATDAT datasets (received under institutional agreement), and on the Eurostat collection of economic indicators, whereas data from earlier years not covered by Eurostat have been completed using data from the Annual Macro-Economic Database of the European Commission (AMECO), the International Monetary Fund’s (IMF) World Economic Outlook (WEO), the Total Economy Database (TED) and the World Bank database. The average population of a country over the period of the time series is used.

The data contains details related to EEA’s indicator “Economic losses from climate-related events in Europe” (https://www.eea.europa.eu/ims/economic-losses-from-climate-related), updated annually. Additional detail on the data and the indicator can be found in the EEA briefing "Economic losses and fatalities from weather- and climate-related events in Europe", 2024 (https://www.eea.europa.eu/en/analysis/publications/economic-losses-from-climate-extremes).

*) This designation is without prejudice to positions on status, and is in line with UNSC 1244 and the ICJ Opinion on the Kosovo Declaration of Independence.
DOI: 10.34740/kaggle/dsv/13520828
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/d6t9v6bh3f
title: AI-LLM Empowering Supply Chain Resilience: An Analysis Based on a Manufacturer-Supplier-Consumer Tripartite Evolutionary Game Model

description: This dataset comprises the numerical simulation results and associated code from the study entitled "AI-LLM Empowering Supply Chain Resilience: An Analysis Based on a Tripartite Evolutionary Game Model of Manufacturer-Supplier-Consumer." The study examines how artificial intelligence and large language models (AI-LLM) enhance supply chain resilience by influencing the strategic interactions among manufacturers, suppliers, and consumers. The core methodology employs a tripartite evolutionary game model, which simulates the dynamic strategic behaviors of the three stakeholders under various parameter configurations that reflect the impact of AI-LLM technology. Data used in this research are collected from prominent Chinese online platforms—including Toutiao, Sohu, and news forums—providing empirical support for parameter calibration in the model. Furthermore, the simulation codes for generating figures and solving equilibrium points were primarily implemented manually in MATLAB, encompassing time series data that depict the evolution of strategy adoption probabilities, along with the corresponding computational scripts necessary to reproduce the model outcomes. The dataset is systematically organized and comprehensive, thereby offering valuable reference material and practical insights for researchers working in the field of game theory.
DOI: 10.17632/d6t9v6bh3f.1
title: AI-LLM Empowering Supply Chain Resilience: An Analysis Based on a Manufacturer-Supplier-Consumer Tripartite Evolutionary Game Model

description: This dataset comprises the numerical simulation results and associated code from the study entitled "AI-LLM Empowering Supply Chain Resilience: An Analysis Based on a Tripartite Evolutionary Game Model of Manufacturer-Supplier-Consumer." The study examines how artificial intelligence and large language models (AI-LLM) enhance supply chain resilience by influencing the strategic interactions among manufacturers, suppliers, and consumers. The core methodology employs a tripartite evolutionary game model, which simulates the dynamic strategic behaviors of the three stakeholders under various parameter configurations that reflect the impact of AI-LLM technology. Data used in this research are collected from prominent Chinese online platforms—including Toutiao, Sohu, and news forums—providing empirical support for parameter calibration in the model. Furthermore, the simulation codes for generating figures and solving equilibrium points were primarily implemented manually in MATLAB, encompassing time series data that depict the evolution of strategy adoption probabilities, along with the corresponding computational scripts necessary to reproduce the model outcomes. The dataset is systematically organized and comprehensive, thereby offering valuable reference material and practical insights for researchers working in the field of game theory.
DOI: 10.17632/6nyb349bx9
title: Differences in rhizosphere enzyme activities and microbial metabolic limitations among overstory trees, understory shrubs and herbs are regulated by growing season

description: We measured the activities of seven hydrolytic enzymes related to carbon (C), nitrogen (N), and phosphorus (P) acquisition in the bulk soils and the rhizosphere soils of overstory trees, understory shrubs (Loropetalum chinense, Adinandra millettii, Eurya muricata), and herbs (Woodwardia japonica, Dryopteris atrata, Dicranopteris dichotoma) in pure plantations of Cunninghamia lanceolata, Pinus massoniana, and Pinus elliottii in subtropical China. Sampling was conducted during the slow growing season (April) and vigorous growing season (July).
DOI: 10.17632/6nyb349bx9.1
title: Differences in rhizosphere enzyme activities and microbial metabolic limitations among overstory trees, understory shrubs and herbs are regulated by growing season

description: We measured the activities of seven hydrolytic enzymes related to carbon (C), nitrogen (N), and phosphorus (P) acquisition in the bulk soils and the rhizosphere soils of overstory trees, understory shrubs (Loropetalum chinense, Adinandra millettii, Eurya muricata), and herbs (Woodwardia japonica, Dryopteris atrata, Dicranopteris dichotoma) in pure plantations of Cunninghamia lanceolata, Pinus massoniana, and Pinus elliottii in subtropical China. Sampling was conducted during the slow growing season (April) and vigorous growing season (July).
DOI: 10.17632/6s6836xk38
title: Blockchain in Agricultural Cooperative Supply Chains

description: Data Description for Repository Submission

Research Hypothesis
This study explores how socio-demographic and organizational factors affect the adoption of blockchain-based traceability systems in agricultural cooperatives. It hypothesizes that education level enhances perceived usefulness, age influences adoption priorities, and perceived usefulness mediates the relationship between supply chain challenges and adoption intention. Together, these hypotheses examine how trust, transparency, and capacity-building shape technology acceptance in cooperative structures.

What the Data Show
Evidence from the 15-month blockchain pilot at the S.S. Ödemiş Bademli Agricultural Development Cooperative (Türkiye) supports these assumptions. Education significantly increased perceived usefulness (η² = 0.545, p &lt; .01), while younger members valued traceability and older ones prioritized efficiency. Capacity-building and infrastructure were rated more important than financial incentives. Perceived usefulness strongly correlated with adoption intention (r = 0.78, p &lt; .01). System telemetry confirmed 99.7 % uptime, 94 % fewer manual errors, and 35 % faster task completion compared with pre-blockchain processes.

Interpretation and Notable Findings
Results emphasize that trust, transparency, and digital literacy are key to blockchain adoption in cooperatives. The proposed Community-Enhanced Technology Acceptance Model (CE-TAM) extends traditional TAM by integrating cooperative governance factors such as shared trust and participation. Findings suggest that social cohesion can be as critical as technical infrastructure in digital transformation.

Data Nature and Use
Data were collected through structured surveys (5-point Likert scales), semi-structured interviews, and blockchain system logs (Polygon Amoy testnet + MySQL backend). All participants provided informed consent, and no personal data were stored, ensuring KVKK and GDPR compliance. The dataset includes variable labels, codebook, and a README explaining structure and analysis methods. Researchers can reuse the data for replication, meta-analysis, or benchmarking blockchain performance in cooperative settings. Aggregated datasets are available at the designated repository (DOI forthcoming).