Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,566
datasets available to search
ShareScore release 0.9.0
Dataset results
4,566 results for “marker”
TRACES Bulgarian Twitter Dataset on Lies and Manipulation Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset is in .csv format and contains 32518 tweet IDs of tweets, written in Bulgarian, with annotations. Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The dataset can be used for general purposes or for building lies and disinformation detection applications (by using the annotations with the linguistic markers of lies). </strong></p> <p><strong>The tweets (written between 1 Jan 2020-27 June 2022) have been collected via Twitter API under academic access in June-July 2022 with the following keywords:</strong></p> <p><strong>(лъжа OR лъжи OR лицемерие OR лъжат OR излъга OR измама OR измамници OR измами OR лъжец OR лъжци) </strong></p> <p><strong>(фалшиви OR fakenews OR невярно OR неверни OR подвеждащи OR подвеждащо OR неистини) - without retweets</strong></p> <p><strong>(манипулация OR манипулира OR стъкмистика OR крие OR далавераджия OR далавери OR далавера) - without retweets</strong></p> <p><strong>Explanation of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper:</strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology<br> Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p> <p> </p>
TRACES Bulgarian Telegram Dataset Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 8791 anonymized Telegram social media posts, written in Bulgarian. The dataset is annotated with general information (named entities, part-of-speech tags, sentence length, etc.) and specific markers signaling details and can be used for general purposes or for building lies, manipulation, and disinformation detection applications. </strong></p> <p><strong>Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The social media posts have been collected via Telegram Desktop in June-July 2022.</strong></p> <p><strong>Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper: </strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology<br> Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p>
TRACES Bulgarian Twitter Dataset on Famous Bulgarian Political Cases of Suspected Lies, Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 15850 tweet IDs of tweets, written in Bulgarian, with annotations. The dataset can be used for general use or for building lies and disinformation detection applications. </strong></p> <p><strong>Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The tweets (written between 1 Jan 2020 and 7 July 2022) have been collected via Twitter API under academic access in June-July 2022 with the following keywords without retweets:</strong></p> <ul> <li> <p><strong>(ваксиниран депутат) OR (ваксинирани депутати) </strong></p> </li> <li> <p><strong>(язовири премиер) OR (язовири прокуратура) OR (язовири прокуратурата)</strong></p> </li> <li> <p><strong>((мвр хемус) OR мвр) (прокуратура OR прокуратурата)</strong></p> </li> <li> <p><strong>(шефът тотото) OR (изпълнителният директор Българския спортен тотализатор)</strong></p> </li> <li> <p><strong>(кирил петков двойно гражданство) OR (премиер двойно гражданство) OR (премиер гражданство)</strong></p> </li> <li> <p><strong>((Пътна OR загубена OR загуби OR изчезнала) карта газпром)</strong></p> </li> <li> <p><strong>(министър плагиат плагиатство) OR (плагиат плагиатство)</strong></p> </li> <li> <p><strong>((изслушване главния прокурор) OR (иван гешев)) </strong></p> </li> <li> <p><strong>(фалшива диплома)</strong></p> </li> <li> <p><strong>(златни паспорти)</strong></p> </li> <li> <p><strong>(апартаментгейт OR (къща за гости) OR (къщи за гости)</strong></p> </li> <li> <p><strong>(оръжия OR оръжие) (Украйна OR украина)</strong></p> </li> <li> <p><strong>((цена OR цени) (газ OR ток OR нафта OR бензин))</strong></p> </li> <li> <p><strong>(мвр OR данс) (фалшиви новини)</strong></p> </li> <li> <p><strong>(данъци OR данъчни OR данък)</strong></p> </li> <li> <p><strong>((кораб Царевна) OR Царевна)</strong></p> </li> <li> <p><strong>(Северна Македония) </strong></p> </li> </ul> <p><strong>Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our paper:</strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p>
TRACES Bulgarian Twitter Dataset on Covid-19 Annotated with Linguistic Markers of Lies
<p><strong>This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 61411 tweet IDs of tweets, written in Bulgarian, with annotations. The dataset can be used for general use or for building lies and disinformation detection applications. </strong></p> <p><strong>Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets.</strong></p> <p><strong>The tweets (written between 1 Jan 2020 and 28 June 2022) have been collected via Twitter API under academic access in June 2022 with the following keywords:</strong></p> <ul> <li> <p><strong>(Covid OR коронавирус OR Covid19 OR Covid-19 OR Covid_19) - without replies and without retweets</strong></p> </li> <li> <p><strong>(Корона OR корона OR Corona OR пандемия OR пандемията OR Spikevax OR SARS-CoV-2 OR бустерна доза) - with replies, but without retweets</strong></p> </li> </ul> <p><strong>Explanations of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper (please cite it when using this dataset): </strong></p> <p>Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology<br> Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.</p>
TRACES Telegram and Twitter Dataset with Bulgarian Journalists Manual Annotations of True/Untrue and Disinformation/Not and Automatic Annotations for Markers of Lies
<p>TRACES dataset of 4083 Twitter and Telegram posts automatically annotated for markers of lies and manually by Bulgarian journalists for containing true/untrue information and disinformation or not.</p> <p>Each message has been annotated by usually 3 (in under 10 cases by 2 annotators). The annotators came from different media, in order to obtain various views. They were asked to not get biased and were assured that their identities will not be revealed. </p> <p><strong>The dataset is a subset of these other datasets:</strong></p> <p>https://zenodo.org/record/7614247</p> <p>https://zenodo.org/record/7614318</p> <p>https://zenodo.org/record/7614357</p> <p>https://zenodo.org/record/7614294</p> <p> </p> <p><strong>It has been annotated following these Annotation Guidelines:</strong></p> <p>https://zenodo.org/record/7706743</p>
FIGURE 2 in New Earthworm Record from Division Muzaffarabad, Azad Kashmir, Pakistan Supported by Molecular Markers
FIGURE 2: Internal anatomy of Perelia kaznakovi. A= Gizzard and intestine, B= S-shaped nephridia, C= seminal vesicles, D= spermathecae
Fig. 1 in Phytochemical profiling of several Hypericum species identified using genetic markers
Fig. 1. Genome size of investigated Hypericum taxa expressed as 2C-value of DNA content (A), 1Cx-value of DNA content (B) and DNA content per chromosome (C). The mean values and standard deviations (mean ±s.d.) are presented.
Elizabeth Scott West grave marker (VCU_3D_7094)
This grave marker in Hollywood Cemetery in Richmond, Virginia was captured with an iPad Pro 2 and the Scaniverse app on 11 July 2022. Source: Objaverse 1.0 / Sketchfab
Effects of First-Line Oral Hypoglycemics in Bone Markers of Treatment Naïve Saudi Adults With Type 2 Diabetes
ClinicalTrials.gov study NCT06439758. IPD Sharing: NO. Countries: 0. Publications: 0.
A New Exogenous Marker for Diagnosis of Oxidative Stress During Laproscopic Surgery
ClinicalTrials.gov study NCT01393587. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of Methotreaxate-induced Liver Fibrosis by Transient Elastography and Serological Markers
ClinicalTrials.gov study NCT06872073. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effect of Soleus Muscle Push Ups on Oxidative Stress and Inflammatory Markers, Soleus Endurance, and Adipocytokines Between Type 2 Diabetic, Overweight/Obese and Normal Weight Individuals.
ClinicalTrials.gov study NCT06450847. IPD Sharing: YES. Countries: 0. Publications: 0.
Urinary Activin A as Apredictive Marker for Assessement of Acute Kidney Injury Severity in Patient Admitted at Assuit University Hospital
ClinicalTrials.gov study NCT06188533. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Fetuin-A as a Marker in Obesity and Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT04218305. IPD Sharing: Not stated. Countries: 0. Publications: 0.
NASH: Non-invasive Diagnostic Markers and Imaging
ClinicalTrials.gov study NCT02717000. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effects of Moderate Exercise and Cyclic Sighing on Stress, Cognition and Physiological Markers in Young Adults
ClinicalTrials.gov study NCT07379606. IPD Sharing: YES. Countries: 0. Publications: 0.
Evaluation of Inflammatory Markers in LARC Patients
ClinicalTrials.gov study NCT05893667. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Alpha-Linolenic Acid and Inflammatory Markers
ClinicalTrials.gov study NCT00967733. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Social Media Markers of Adolescents' Suicide Hazard
ClinicalTrials.gov study NCT02719275. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Relationship Between Perioperative Related Factors and Inflammatory Markers and Postoperative Delirium in Elderly Patients With Non-cardiac Major Surgery
ClinicalTrials.gov study NCT05341531. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.