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2,031
datasets available to search
ShareScore release 0.9.0
Dataset results
2,031 results for “transformation”
LOSS OF THE TUMOR SUPPRESSOR, TP53, ENHANCES THE ANDROGEN RECEPTOR MEDIATED ONCOGENIC TRANSFORMATION AND TUMOR DEVELOPMENT IN THE MOUSE PROSTATE
GEO Series GSE129243. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
TP53 loss and TET2 deficiency cooperate to drive lineage-plastic leukemogenesis by transforming progenitors and establishing immune suppressive environment
GEO Series GSE217867. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Molecular Characterization of Spontaneously Transformed Epithelial Murine Colon Cell Lines as a Model of Human Colorectal Neoplasia
GEO Series GSE72349. Mus musculus. 24 samples. Type: Expression profiling by array; Genome variation profiling by array.
Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HepG2_batchC
GEO Series GSE244704. Homo sapiens. 60 samples. Type: Expression profiling by high throughput sequencing.
Transformed cells after senescence give rise to more severe tumor phenotypes than transformed non-senescent cells
GEO Series GSE210060. Mus musculus. 12 samples. Type: Expression profiling by array.
RIT1 drives lung oncogenic transformation and is an actionable target in lung adenocarcinoma [H2110]
GEO Series GSE290502. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Gene expression analysis following 24h- and 48h-siRNA knockdown of transforming growth factor β receptor III (TGFBR3) in human pulmonary arterial smooth muscle cells (hPASMC).
GEO Series GSE92481. Homo sapiens. 14 samples. Type: Expression profiling by array.
Epstein-Barr virus protein EBNA-LP engages YY1 through [RNA-seq] leucine-rich motifs to promote naïve B cell transformation
GEO Series GSE268054. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Distribution, seasonality, and water-mass transformation of temperature and salinity inversions in the southern Yellow Sea
<p>This dataset contains the used data at Stn. H08 obtained by ADCP and those transect stations obtained by CTD during the spring and summer cruises from 2017 to 2022. It is a supplementary of the manuscript "Distribution, seasonality, and water-mass transformation of temperature and salinity inversions in the southern Yellow Sea". Please let me know if you need any more information.</p>
Optimal Transformation Cycles
<p>This dataset has been created by POLIMI in collaboration with AIDIMME and AIMEN and belongs to Work Package 1 about the definition of a thermal cycle to reduce defect formation LBW and PBF-LB/M processes.</p> <p>This dataset covers data related to process parameters and conditions for melting the materials IN713LC and CM247LC by means of laser powder bed fusion (PBF-LB/M) technology and 304L stainless steel by Laser beam welding (LBW). These include experimental results and the thermal cycles measured within the materials (considering solidification, cooling and following heating cycles induced by adjacent laser scans) with the aim of designing the temporal and spatial energy delivery required from the beam.</p> <p>© COPYRIGHT 2021 The CUSTODIAN Consortium. All rights reserved.</p>
Dataset for paper [Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique]
<p>Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniques can facilitate automatic information extraction and transformation of free-text formats to structured data. In recent years, deep learning (DL)-based models have been adapted for NLP experiments with promising results. Despite the significant potential of DL models based on artificial neural networks (ANN) and convolutional neural networks (CNN), the models face some limitations to implement in clinical practice. Transformers, another new DL architecture, have been increasingly applied to improve the process. Therefore, in this study, we propose a transformer-based fine-grained named entity recognition (NER) architecture for clinical information extraction. We collected 88 abdominopelvic sonography reports in free-text formats and annotated them based on our developed information schema. The text-to-text transfer transformer model (T5) and Scifive, a pre-trained domain-specific adaptation of the T5 model, were applied for fine-tuning to extract entities and relations and transform the input into a structured format. Our transformer-based model in this study outperformed previously applied approaches such as ANN and CNN models based on ROUGE-1, ROUGE-2, ROUGE-L, and BLEU scores of 0.816, 0.668, 0.528, and 0.743, respectively, while providing an interpretable structured report.</p>
Transformative Change Assessment Chapter 1 Evidence Causes Data Package
<p>Data Package for <strong>Transformative Change Assessment Chapter 1 Evidence Cause</strong> technical report.</p>
XRD data for "The olivine-ringwoodite transformation triggers deep slab seismicity and rheological weakening" by R. Honda et al.
<p>X-ray diffraction data obtained in experiments in "The olivine-ringwoodite transformation triggers deep slab seismicity and rheological weakening" by R. Honda et al.</p>
Shaping the Future The Transformative Potential of AI in Computer Science VET Programs
Open the record for dataset details and reuse information.
LSTM-Transformer
<p>This is the dataset used in the manuscript titled "A Hybrid LSTM-Transformer Deep Learning Model for Spatiotemporal Analysis of Precipitation-Evaporation Driven Spring Discharge" including monthly evaporation (EVP.csv), precipitation (PRE.xlsx), sunshine duration (SSD.csv), wind speed (WIN.csv), air pressure (PRS.csv), relative humid (RHU.csv), ground surface temperature (GST.csv), air temperature (TEM.csv) and spring discharge data (niangziguan_new.csv) </p>
A multiplicity of perspectives on complex urban water systems transformation - a systematic review (supplemental data)
<p>This supplemental data contains all records (publication and reference materials) used in the systematic review of the literature (publication pending):</p> <p>1) Full list of publication records on urban water literature using the social-ecological systems and socio-technical systems framework extracted from the Web of Science and Scopus database (raw list).</p> <p>2) Selected list of corpus and sub-corpus literature from the original list after applying the inclusion and exclusion criteria.</p> <p>3) Keywords mapping drawn from the reference list using the Vosviewer application.</p>
Local seismicity around the St. Paul transform system - Supplemental Material
<p>The supplementary material to Local seismicity pattern and brittle-ductile transition along the large slow-slipping St.Paul transform system, equatorial Atlantic.</p>
Transcription factor HMGA2 controls the K-RAS mediated transformation-specific genetic program
GEO Series GSE14658. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Putative Biomarkers of malignant transformation of sinonasal inverted papilloma into squamous cell carcinoma
GEO Series GSE125399. Homo sapiens. 11 samples. Type: Methylation profiling by array.
Divergent transcriptional and transforming properties of PAX3-FOXO1 and PAX7-FOXO1 paralogs
GEO Series GSE180919. Homo sapiens. 56 samples. Type: Expression profiling by high throughput sequencing; Other; Genome binding/occupancy profiling by high throughput sequencing.
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.