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417 results for “IA”

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geo20/100

Spinal motor neuron development and metabolism are transcriptionally regulated by Nuclear Factor IA [ATAC-Seq]

GEO Series GSE268391. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo20/100

Genome-wide profiling of DNA hydroxymethylation patterns in iAs-transformed cells

GEO Series GSE103626. Homo sapiens. 2 samples. Type: Methylation profiling by high throughput sequencing.

openGEO-OpenFeb 2018View details →
geo16/100

compare of mRNA expression between IA and MMA

GEO Series GSE46337. Homo sapiens. 4 samples. Type: Expression profiling by array.

openGEO-OpenApr 2013View details →
geo16/100

Gene expression analysis in untreated or 1 mM iAs (6-120 hours post fertilization; hpf), pooled (10) whole larvae 5 days post fertilization (dpf): wild-type TAB14 compared to as3mt mutant larvae [whol

GEO Series GSE228753. Danio rerio. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2023View details →
geo16/100

compare of microRNA expression between IA and MMA

GEO Series GSE46336. Homo sapiens. 6 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenApr 2013View details →
geo16/100

compare of expression between IA and MMA

GEO Series GSE46338. Homo sapiens. 10 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.

openGEO-OpenApr 2013View details →
zenodo16/100

Catalog of Lensed SNe Ia in 10 year of LSST run

<p>This data release is a part of arxiv 2404.15389. The catalog provides all lensed SNe Ia to be present in 10-year LSST run.&nbsp;</p>

restrictedcc-by-4.0Aug 2024View details →
geo16/100

Transcriptome analysis of a clinical phase Ia Mycobacterium bovis BCG vaccination study (sex and age matched European (Caucasian) males, 25-35 years, performed in Germany)

GEO Series GSE51059. Homo sapiens. 74 samples. Type: Expression profiling by array.

openGEO-OpenOct 2013View details →
geo16/100

Anti-inflammatory effect of indoleacrylic acid (IA)

GEO Series GSE98884. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2017View details →
geo16/100

Class IA PI3Kinase regulatory subunit p85α regulates mast cell growth and survival related genes

GEO Series GSE32410. Mus musculus. 3 samples. Type: Expression profiling by array.

openGEO-OpenSep 2011View details →
geo12/100

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and 2.5ppm iAs Treated Mouse Gastrocnemius Muscle Transcriptomes

GEO Series GSE122566. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2018View details →
zenodo12/100

Data set from the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.

<p>The data set refers on the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.</p> <p>This is the abstract:</p> <p><strong>Background and aims:&nbsp;</strong>Adults with congenital heart disease (ACHD) are at risk of overweight and obesity, two major health problems, though underweight can be a negative prognostic factor too. Awareness of the body mass index (BMI) in ACHD is very limited. The present study describes the use and prevalence of BMI in Italian symptomatic hospitalized ACHD patients in relation to complexity by Bethesda system classification, diagnosis, sex and age.</p> <p><strong>Methods and results:&nbsp;</strong>We classified 1388 ACHD patients, aged 18-69 years, on the basis of their BMI, and compared them to the Italian reference population. In our total ACHD population we found a significantly higher prevalence of underweight compared to the Italian reference population (6.34% vs 3.20%). ACHD women were more underweight than men. Underweight decreased with age. Overweight was significantly less frequent in the total ACHD population (26.73% compared to 31.70%) in the Italian reference population. Men were more likely to be overweight than women. In statistical terms obesity was similar in the Italian reference population (10.50%) and our ACHD population (9.58%). Both overweight and obesity increased with age. Results were comparable using a diagnostic anatomical-functional classification and the Bethesda system classification.</p> <p><strong>Conclusions:&nbsp;</strong>In our cohort of ACHD the prevalence of underweight was double that of the Italian reference population. The prevalence of overweight was lower, while obesity was similar. Since BMI does not account for differences in body fat distribution, a future aim will be to quantify the visceral component of the adipose tissue in ACHD patients and examine their body composition in order to reflect their risk of acquired cardiovascular disease better, and either to maintain or achieve an adequate visceral component.</p>

restrictedMay 2020View details →
zenodo12/100

Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.

<p>Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.</p> <p>&nbsp;</p> <p>Astract</p> <p>&nbsp;</p>

restrictedMar 2022View details →
zenodo8/100

Large IA Segmentation dataset

<p>This is the official Large IA (intracranial aneurysm) Segmentation dataset for our Patterns paper -&nbsp;Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network (<a href="https://doi.org/10.1016/j.patter.2020.100197">https://doi.org/10.1016/j.patter.2020.100197</a>).&nbsp;</p> <p>The internal dataset includes 1338 3D CTA images/1489 IAs from 6 institutions. The external dataset includes 138 3D CTA images/101 IAs from 2 institutions.</p> <p>We provides voxel-wise IA segmentation annotations and additional information (age, sex, whether ruptured...) for each CTA image.</p> <p>The dataset is only available for non-commercial purposes. Please provide the user's name, affiliation, supervisor and usage purpose. Please use the email account of your institution to send the request. If you find it useful in your research, please cite our paper:</p> <pre><code>@article{bo2021toward, title={Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network}, author={Bo, Zi-Hao and Qiao, Hui and Tian, Chong and Guo, Yuchen and Li, Wuchao and Liang, Tiantian and Li, Dongxue and Liao, Dan and Zeng, Xianchun and Mei, Leilei and others}, journal={Patterns}, volume={2}, number={2}, pages={100197}, year={2021}, publisher={Elsevier} }</code></pre> <pre>&nbsp;</pre>

restrictedFeb 2021View details →
zenodo4/100

SO2 UV cross sections for ESA - SEOM - IAS - GSMA

<p>SO2 UV absorption cross sections at 296K and 4 different resolutions</p>

restrictedNov 2018View details →
openaire4/100

doi_________::fbb4aea2f3dc67114895a2fa8ffafacd

Open the record for dataset details and reuse information.

Jun 2017View details →
openaire0/100

doi_________::524dd3723afa6fafa290db835de50821

Open the record for dataset details and reuse information.

Jun 2017View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record