cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27619839.v1
title: Tran et al. Final_Dataset.xlsx

description: Artificial Intelligence (AI) has emerged as a critical challenge to the authenticity of journalistic content, raising concerns over the ease with which artificially generated articles can mimic human-written news. This study focuses on using machine learning to identify distinguishing features, or “stylistic fingerprints,” of AI-generated and human-authored journalism. By analyzing these unique characteristics, we aim to classify news pieces with high accuracy, enhancing our ability to verify the authenticity of digital news.To conduct this study, we gathered a balanced dataset of 150 original journalistic articles and their 150 AI-generated counterparts, sourced from popular news websites. A variety of lexical, syntactic, and readability features were extracted from each article to serve as input data for training machine learning models. Five classifiers were then trained to evaluate how accurately they could distinguish between authentic and artificial articles, with each model learning specific patterns and variations in writing style.In addition to model training, BERTopic, a topic modeling technique, was applied to extract salient keywords from the journalistic articles. These keywords were used to prompt Google’s Gemini, an AI text generation model, to create artificial articles on the same topics as the original human-written pieces. This ensured a high level of relevance between authentic and AI-generated articles, which added complexity to the classification task.Among the five classifiers tested, the Random Forest model delivered the best performance, achieving an accuracy of 98.3% along with high precision (0.984), recall (0.983), and F1-score (0.983). Feature importance analyses were conducted using methods like Random Forest Feature Importance, Analysis of Variance (ANOVA), Mutual Information, and Recursive Feature Elimination. This analysis revealed that the top five discriminative features were sentence length range, paragraph length coefficient of variation, verb ratio, sentence complexity tags, and paragraph length range. These features appeared to encapsulate subtle but meaningful stylistic differences between human and AI-generated content.This research makes a significant contribution to combating disinformation by offering a robust method for authenticating journalistic content. By employing machine learning to identify subtle linguistic patterns, this study not only advances our understanding of AI in journalism but also enhances the tools available to ensure the credibility of news in the digital age.
DOI: 10.3535/6y4-9gl-t9w
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sa2-wxm-3y2
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0pa-ejv-ynp
title: Cassiterite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rbd-3a3-vll
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fnw-y4e-vrc
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hdl-0rg-ccq
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0a3-bzm-fqy
title: Rhegmaphyllum whittardi (Smith, 1930)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/56m-n30-mxn
title: Magnesite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3555774.v1
title: Supplementary Material for: Review of the Tuberous Sclerosis Renal Guidelines from the 2012 Consensus Conference: Current Data and Future Study

description: Renal-related disease is the most common cause of tuberous sclerosis complex (TSC)-related death in adults, and renal angiomyolipomas can lead to complications that include chronic kidney disease (CKD) and hemorrhage. International TSC guidelines recommend mammalian target of rapamycin (mTOR) inhibitors as first-line therapy for management of asymptomatic, growing angiomyolipomas &gt;3 cm in diameter. This review discusses data regarding patient outcomes that were used to develop current guidelines for embolization of renal angiomyolipomas and presents recent data on 2 available mTOR inhibitors - sirolimus and everolimus - in the treatment of angiomyolipoma. TSC-associated renal angiomyolipomas can recur after embolization. Both sirolimus and everolimus have shown effectiveness in reduction of angiomyolipoma volume, with an acceptable safety profile that includes preservation of renal function with long-term therapy. The authors propose a hypothesis for mTORC1 haploinsufficiency as an additional mechanism for CKD and propose that preventive therapy with mTOR inhibitors might have a role in reducing the number of angiomyolipoma-related deaths. Because mTOR inhibitors target the underlying pathophysiology of TSC, patients might benefit from treatment of multiple manifestations with one systemic therapy. Based on recent evidence, new guidelines should be considered that support the earlier initiation of mTOR inhibitor therapy for the management of renal angiomyolipomas to prevent future serious complications, rather than try to rescue patients after the complications have occurred.
DOI: 10.3535/pxn-r4z-fjx
title: †Platyceras Conrad, 1840

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vg9-q1r-3s0
title: †Platyceras Conrad, 1840

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28532387.v1
title: Additionality Revisited for Blue Carbon Ecosystems: Ensuring Real Climate Mitigation - Supplementary Data

description: Saltmarsh and seagrass data and source references from "Additionality Revisited for Blue Carbon Ecosystems: Ensuring Real Climate Mitigation" Williamson et al.'s (2025) response to Houston et al. (2024), Global Change Biology.
DOI: 10.3535/68e-e4w-kvk
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ywc-zwx-ac6
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/f1j-kcd-hgm
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28704494
title: Supplemetary matherial 1

description: Latitude and Longitude for the Areas
DOI: 10.6084/m9.figshare.8197697.v2
title: return

description: daily return of series
DOI: 10.3535/9zj-ygf-374
title: †Retzia King, 1850

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v80-dt7-l1r
title: Corundum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1282468.v1
title: Tricky maths and physical truths of the natural sciences

description: Mathematical tools and physical reality.
DOI: 10.6084/m9.figshare.17900573.v2
title: Data for "Global atlas of soil micronutrients"

description: Total soil micronutrients ans associated environmental drivers in 1306 soils
DOI: 10.6084/m9.figshare.19551484.v1
title: train mask

description: Reactome train mask file
DOI: 10.6084/m9.figshare.6848750.v1
title: Apple iTunes search results.xlsx

description: This data set provides the app titles retrieved from Apple iTunes as part of our systematic search of the Apple iTunes store, within our mobile app study.
DOI: 10.3535/0hd-7l6-03g
title: †Lingulella Salter, 1866

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4gl-fzr-zeg
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ca1-kb9-6gv
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/g6z-tlg-pne
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22662331.v4
title: RES load profile and network parameter

description: renewable load profile and network parameter
DOI: 10.3535/4as-fnc-m3x
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jsk-f2j-6m5
title: †Armenoceras Foeste, 1924

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14601309.v1
title: Math rating (min square)

description: Rating of mathematicians obtained using the "least squares" method.
DOI: 10.6084/m9.figshare.16590722.v1
title: Additional file 3 of DI2: prior-free and multi-item discretization of biological data and its applications

description: Additional file 3. File with the accuracy achieved in cross validation by each discretization method in each model considering 5 categories.
DOI: 10.3535/gtr-snc-m5j
title: Rhodochrosite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rg5-0c1-g3d
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11653641.v2
title: Gene counts of RNA-seq in NCI-H1975 and osimertinib-resistant cells.xls

description: Gene counts of RNA-seq in NCI-H1975 and osimertinib-resistant cells
DOI: 10.3535/txe-9ry-4yl
title: Pyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3515180.v1
title: Appendix A. Structural and mean tree parameters for each species used in the MAESTRA model.

description: Structural and mean tree parameters for each species used in the MAESTRA model.
DOI: 10.15468/dl.7tejb2
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rana jiulingensis Wan, Lyu & Wang, 2020"
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009892-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/jgl-npg-xhp
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lxp-fq1-y0j
title: Favosites forbesi (Edwards & Haime)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vq4-wn8-aml
title: Gypsum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/znf-64g-mty
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4bn-2ph-9t1
title: Gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ekc-n0t-39d
title: Gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9j4-w68-jj0
title: Barite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l0s-0at-j3g
title: Pyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r5v-vdd-8mc
title: Molybdenite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25546870.v1
title: Transcripts for Journal.docx

description: Transcripts for journal
DOI: 10.3535/c7p-hn9-7pq
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h99-dst-7pb
title: Galena

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28573457.v1
title: Data (0311)

description: In the era of the knowledge economy, the competition for talent among organizations has intensified, with star employees emerging as the focal point of this battle. Based on their performance, reputation, status, and social capital, some star nurses may develop a sense of entitlement, potentially leading to certain forms of workplace deviance.
DOI: 10.3535/9t3-1zs-9hm
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b8k-nls-801
title: Quartz

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/d76-bmd-lds
title: Quartz

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.18893906.v5
title: Constraining the spectral behavior of the clay-bearing outcrops in Oxia Planum, the landing site for ExoMars 2022 "Rosalind Franklin" rover: Supporting Datasets

description: This repository contains the supporting materials associated with Brossier et al. (2022), published in Icarus (https://doi.org/10.1016/j.icarus.2022.115114) - it includes: <br> [Oxia_geo-units.shp] - Shapefiles (and auxiliary files) for the major geological units in Oxia Planum. They are defined and described in Ivanov et al. (2020) [doi: 10.1134/S0038094620010050] and Quantin-Nataf et al. (2021) [doi: 10.1089/ast.2019.2191]. [FeMg-clays_outcrops] - Shapefiles (and auxiliary files) for the clay-bearing outcrops identified and mapped in Oxia Planum (335.6E, 18N), through 12 CRISM hyperspectral targeted cubes. [Outside_clays_outcrops] - Shapefiles (and auxiliary files) for the clay-bearing outcrops identified and mapped in the catchment area (337E, 16.7N). [Spectra.xlsx] - Excel file including the reflectance (I/F) values for the CRISM spectra of the clay-bearing outcrops in Oxia Planum and its catchment area. All spectra are normalized for better comparison. [Oxia_SM1.pdf] - Supporting materials concerning the spectral analysis. [Oxia_SM2.pdf] - Supporting materials concerning the GIS analysis. <br> Note: All imagery and altimetry datasets are available through the NASA PDS server (see link below).<br>
DOI: 10.3535/xr2-bd1-7qx
title: Dentalium elephantinum Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/74m-wr0-314
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8fg-cj2-m6r
title: Gold

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19779343.v1
title: Obama Vs Trump

description: The above is a data set that compares Trump's and Obama's presidency in USA <br>
DOI: 10.6084/m9.figshare.23690811.v1
title: Exploring Customer Journey Mining and RPA: Case Study Data

description: This document includes the underlying data of the case study conducted and presented in the confrence paper titled "Exploring Customer Journey Mining and RPA: Prediction of Customers’ Next Touchpoint". <br> Data Source: https://www.kaggle.com/datasets/kishlaya18/customer-purchase-journey-netherlands
DOI: 10.6084/m9.figshare.3526250.v1
title: Supplement 1. The Linum data set and a text file containing instructions and SAS scripts for analysis of the data set.

description: File List Lamb_et_al_SAScode.txt <br> Linumdata.txt Description The file Lamb_et_al_SAScode.txt contains SAS scripts and instructions for conducting nonlinear regression analyses of the <i>Linum</i> data set. The contents of the file can be pasted directly into the script editor in SAS. The file includes a script to import the <i>Linum</i> data set contained in the file Linumdata.txt into SAS. The file Linumdata.txt contains 4 columns and 40 rows (39 data points, one row with column headings). The columns in the data set are as follows: -- TABLE: Please see in attached file. --
DOI: 10.3535/fbg-6s2-ytp
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v2n-nk6-4bp
title: †Ammonoidea

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.6933488.v1
title: Additional file 1: of Length variations within the Merle retrotransposon of canine PMEL: correlating genotype with phenotype

description: Study population data. Breed, phenotype, and M genotypes are given for all 259 dogs in our final study cohort. Merle amplicon and inferred oligo(dT) length in base pairs are given with corresponding signal intensity (RFU) for each dog for all peaks with an RFU value of 100 or greater. D, H, and S genotypes are given for select dogs. (XLS 66Â kb)
DOI: 10.3535/tkf-j5v-znq
title: Vanadinite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wka-dx9-bgx
title: Barite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27210603.v1
title: Tetanus toxoid

description: Final dataset for Tetanus toxoid
DOI: 10.3535/dvr-0ew-e3l
title: Anglesite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ldp-q1e-1wk
title: Cuprite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22141715.v1
title: Structure of the search strategy.docx

description: <strong>Structure of the search strategy</strong>
DOI: 10.3535/rdx-h33-8z5
title: †Tremanotus J. Hall, 1865

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11953047.v1
title: Additional file 10 of The genome evolution and domestication of tropical fruit mango

description: Additional file 10: Table S8. Plant genomes used for comparative genomics investigation.
DOI: 10.6084/m9.figshare.15173136.v1
title: Dipping fault pythone script for TRELIS

description: python script to generate with TRELIS the unstructured mesh presented in Prada et al (https://doi.org/10.1002/essoar.10507023.1)
DOI: 10.6084/m9.figshare.24639327.v1
title: RT-qPCR Data

description: RT-qPCR raw data for cytokine expression using the ddct method
DOI: 10.3535/hp4-7b0-l5x
title: †Platyceras Conrad, 1840

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nfn-0rt-cl5
title: †Trigonia Bruguière, 1789

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ssl-fk1-l92
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t55-cr2-ba5
title: Stephanite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23180936.v3
title: Temperature, Water Depth and Flow Velocity are Important Drivers of Methane Ebullition in a Temperate Lowland Stream.csv

description: The data set of CH4 ebullition and measured environmental characteristics used in a study titled "In Addition to Temperature, Water Depth and Flow Velocity are Important Drivers of Methane Ebullition in a Temperate Lowland Stream".
DOI: 10.6084/m9.figshare.27445587.v2
title: CoSTest

description: This is the research about CoSTest
DOI: 10.3535/6kw-ycq-gnk
title: †Eoplectodonta Kozlowski, 1929

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bth-w8k-6k9
title: †Skenidioides Schuchert & Cooper, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22580182.v2
title: Published and Student Plantar Measurements rev.03-04-3023.6_Updated.xlsx

description: NB: Not for peer review, student collaboration project. Measurement of fossil hominin footprints are of high value in the interpretation of the evolution of bipedality1,2. However, due to the variable nature of such fossilized imprints created within diverse soil features, interpretations of footprints are uncertain3–5. We demonstrate that a simple paper walkway and water-based paint imprints of feet and gait characteristics of students enables scientific competency on par with published observations of hominin fossil imprints with established landmarks of the plantar foot6. While the walkway approach is limited to two-dimensions, features of evolving hominin foot can be measured with low cost and high volume. In addition, two approaches for the determination of foot arch volume including an air-drying clay imprint and a 3D iPhone scan7 are also described that are consistent with published data8. We emphasize the uncertainty in analysis methods for fossil footprints, typically not reported in the literature for features of the plantar foot4,9.
DOI: 10.6084/m9.figshare.23956830.v3
title: Reading Chinese but with Korean in mind: ERP evidence for nonselective lexical access in sentence reading

description: Data from our study “Reading Chinese but with Korean in mind: ERP evidence for nonselective lexical access in sentence reading”. The dataset includes the stimuli, the behavioral data, and the ERP data.
DOI: 10.60893/figshare.jva.25837882.v1
title: Supplementary material

description: Supplementary Information
DOI: 10.25405/data.ncl.23648514.v2
title: Datasets for Prediction Model for Multidirectional Vortex-Induced Vibrations of Catenary Riser in Convex/Concave and Perpendicular Flows

description: These datasets are associated with numerical results plotted in Figures 2-21 in an article published in Journal of Fluids and Structures, 2023, Vol. 117, 103826.
DOI: 10.3535/8e9-2k5-dbg
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lcy-156-rmm
title: Pyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.4994456.v1
title: Greenhouse gas emissions and dung weights vary with dung beetle species

description: Data used in the paper: "<b>Greenhouse gas emissions from dung pats vary with dung beetle species and with assemblage composition</b>"Data of GHG fluxes from dung pats and data for dry dung weights
DOI: 10.3535/xxh-cp2-ynw
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28029659.v1
title: Dataset_Fresh Pineapple paper_Final.xlsx

description: Fresh pineapple agronomy in the Republic of Benin: recent trends in calcium carbide use and producer perceptions
DOI: 10.6084/m9.figshare.4801555.v1
title: Appendix.docx

description: Appendices of the Paper http://dx.doi.org/10.1080/0951192X.2017.1307452
DOI: 10.3535/4jg-a4l-n2a
title: Magnesite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ae3-j9b-3j4
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24534871.v1
title: Supplementary Table S2:<b> </b>Sequences of the mimics, inhibitors, and controls of two miRNAs.

description: Supplementary Table S2:<b> </b>Sequences of the mimics, inhibitors, and controls of two miRNAs.
DOI: 10.6084/m9.figshare.26073859.v1
title: smart.db

description: smart database with coreset