Skip to main content
Powered by ShareScore

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.

1,410

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

1,410 results for “ICU”

Learn how ShareScore rates datasets ↗
zenodo48/100

Epidemiological and clinical characteristics predictive of ICU mortality of traumatic brain injury patients treated at a trauma reference hospital – A cohort study - Dataset

<p><strong>Dataset of a cohort whose summary is described below.</strong></p> <p><strong>ABSTRACT</strong></p> <p><strong>Background</strong>: Traumatic brain injury (TBI) has substantial physical, psychological, social and economic impacts, with high rates of morbidity and mortality. Considering its high incidence, the aim of this study was to identify epidemiological and clinical characteristics that predict mortality in patients hospitalized for TBI in intensive care units (ICUs). <strong>Methods</strong>: A retrospective cohort study was carried out with patients over 18 years old with TBI admitted to an ICU of a Brazilian trauma referral hospital between January 2012 and August 2019. TBI was compared with other traumas in terms of clinical characteristics of ICU admission and outcome. Univariate and multivariate analyses were used to estimate the odds ratio for mortality. <strong>Results</strong>: Of the 4816 patients included, 1114 had TBI, with a predominance of males (85.1%). Compared with patients with other traumas, patients with TBI had a lower mean age (45.3 &plusmn; 19.1 versus 57.1 &plusmn; 24.1 years, p &lt; 0.001), higher median APACHE II (19 versus 15, p &lt;0.001) and SOFA (6 versus 3, p &lt; 0.001) scores, lower median Glasgow Coma Scale (GCS) score (10 versus 15, p &lt; 0.001), higher median length of stay (7 days versus 4 days, p &lt; 0.001) and higher mortality (27.6% versus 13.3%, p &lt; 0.001). In the multivariate analysis, the predictors of mortality were older age (OR: 1.008 [1.002-1.015], p = 0.016), higher APACHE II score (OR: 1.180 [1.155-1.204], p &lt; 0.001), lower GCS score for the first 24 hours (OR: 0.730 [0.700-0.760], p &lt; 0.001), and greater number of brain injuries and presence of associated chest trauma (OR: 1.727 [1.192-2.501], p &lt; 0.001). <strong>Conclusion</strong>: Patients admitted to the ICU for TBI were younger and had worse prognostic scores, longer hospital stays and higher mortality than those admitted to the ICU for other traumas. The independent predictors of mortality were advanced age, APACHE II score, first 24-hour GCS score, number of brain injuries and chest trauma.</p>

opencc-by-4.0Sep 2022View details →
zenodo44/100

Reducing False Arrhythmia Alarms in the ICU - The PhysioNet Computing in Cardiology Challenge 2015

<p>This dataset is part of the available dataset for <em>The PhysioNet Computing in Cardiology Challenge 2015</em>, available at&nbsp;https://www.physionet.org/content/challenge-2015/1.0.0/training.zip (last accessed today 2021-03-24).</p> <p>The dataset is licensed under GNU GPL license Version 3:</p> <p>Permissions:</p> <ul> <li>Commercial use</li> <li>Distribution</li> <li>Modification</li> <li>Patent use</li> <li>Private use</li> </ul> <p>Conditions:</p> <ul> <li>Disclose source</li> <li>License and copyright notice</li> <li>Same license</li> <li>State changes</li> </ul> <p>Limitations:</p> <ul> <li>Liability</li> <li>Warranty</li> </ul> <p>For more information about the license, check:&nbsp;https://choosealicense.com/licenses/gpl-3.0/</p> <p>The following modifications were made:</p> <ul> <li>Only the targets folder is used</li> <li>Only the files *.hea and *.mat are used, being the latter converted to CSV and compressed in .bz2 format</li> <li>Added the LICENSE.txt file as required.</li> </ul>

opengpl-2.0-or-laterMar 2021View details →
zenodo40/100

ICU post- discharge persistent symptoms, self-reported health and quality of life of COVID-19 survivors: A cohort study.

<p>&nbsp;</p> <p>Understanding the consequences and health impact of COVID-19 survivors discharged from the ICU is still unclear. The aim of this study was to investigated persistent symptoms, &nbsp;health satisfaction and health related quality of life (HRQoL) of patients that were hospitalized due COVID-19 infection after 30, 90 and 180 days from ICU discharge. This is a multicentric prospective cohort study of COVID-19 survivors discharged from 8 hospitals of Curitiba &ndash; Paran&aacute; (Brazil), between September 2020 and January 2022. Eligible COVID 19 survivors were contacted by phone and invited to answer telephone survey at 30, 90 and 180 days after ICU discharge. They responded a phone questionnaire to collect post-discharge clinical symptoms, and we also asked about health satisfaction and HRQoL. 62 COVID-19 survivors (51,6% males, mean age 50,3 years, median length of ICU stay of 13 days) responded to the telephone survey at 30, 90 and 180 days. The most persistent symptoms were fatigue (65,9%, 51,3%, 44,7%, respectively), mild dyspnea (42%, 31%, 29,8%, respectively) and myalgia (29%, 22,1%, 17%, respectively). Myalgia showed a significant reduction from 30 days to 180 days (p=0,034), and the number of symptoms also reduced significantly (30 to 90 days, <em>p=0.018</em>, 30 to 180 days<em>, p=0.001 </em>). At 30, 90 and 180 follow up days the most patients had reported &ldquo;good&rdquo; quality of life (59,7%, 62,9%, 51,6%, respectively), and &ldquo;satisfied&rdquo; with health (43,5%, 48,4%, 46,8%, respectively). We found that COVID-19 symptoms persist to 180 days, fatigue more commonly. Nevertheless, in this cohort study, most COVID-19 survivors reported good quality of life and were satisfied with health.</p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Dataset: ICU Medical, Inc. (ICUI) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo40/100

Dataset: SeaStar Medical Holding Corporation (ICU) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
ClinicalTrials.gov40/100

Family-Authored ICU Diaries to Reduce Fear in Patients Experiencing a Cardiac Arrest (FAID Fear)

ClinicalTrials.gov study NCT05144477. IPD Sharing: NO. Countries: 1. Publications: 9.

closedIPD-NOFeb 2026View details →
zenodo36/100

Effectiveness of prone positioning in non-intubated ICU patients with moderate to severe ARDS

<p><strong>Data and R code from the paper</strong></p> <p><em><strong>Effectiveness of prone positioning in non-intubated ICU patients with moderate to severe ARDS</strong></em></p> <p>Authors:</p> <p>Manuel Taboada, Ph.D. Mariana Gonz&aacute;lez, M.D. Ant&iacute;a &Aacute;lvarez, M.D., Irene Gonz&aacute;lez, M.D, Javier Garc&iacute;a, M.D., Mar&iacute;a Eiras. M.D., Mar&iacute;a Diaz Vieito, M.D., Alberto Naveira, M.D., Pablo Otero, M.D., Olga Campa&ntilde;a, M.D., Ignacio Muniategui, M.D., Ana Tubio, M.D., Jose Costa, M.D., Salom&eacute; Selas, M.D., Agust&iacute;n Cari&ntilde;ena, M.D., Adri&aacute;n Mart&iacute;nez, M.D., Sonia Veiras, M.D. Ph.D, Francisco Aneiros, M.D., Valent&iacute;n Caruezo, M.D., Aurora Baluja, M.D. Julian Alvarez, Ph.D<br> <br> <strong>Background</strong>:<br> In the treatment for severe ARDS from COVID-19, the WHO recommends prone positioning (PP) during mechanical ventilation for periods of 12-16 hours per day to potentially improve oxygenation and survival. In this prospective observational study we evaluated the ability of long PP sessions to improve oxygenation in awake ICU patients with moderate or severe ARDS due to COVID-19.</p> <p><strong>Methods</strong>:<br> The study was approved by the ethics committee of Galicia (code No. 2020-188), and all patients provided informed consent. In this case series, awake patients with moderate or severe ARDS by COVID-19 admitted to the ICU at University Hospital of Santiago from March 21 to April 5, 2020 were prospectively analyzed. Patients were instructed to remain in PP as long as possible and not stop until the they felt too tired to maintain that position. If needed, light sedation was administered. The following information were collected: StO2 and blood gases (PaO2, PaO2/FiO2, PaCO2, pH) in ICU admission, number and duration of PP sessions, StO2 and blood gases before, during and following a PP session, need of mechanical ventilation, duration of ICU admission and ICU outcome. Linear mixed effects models (LMM) were adjusted to estimate changes of oxygenation parameters from baseline,. Patients were added as a random effect to account for inter-patient random variability in their own baseline measurements.</p> <p><strong>Results</strong>:<br> Seven patients with moderate or severe ARDS by COVID-19 were included. All patients received at least one PP session. A total of 16 PP sessions were performed in the 7 patients during the period study. The median duration of PP sessions was 10 hours. For PP sessions of more than 4 hours, dexmedetomidine was used for sedation. Oxygenation increased in all sixteen sessions performed in the seven patients. Prone positioning was associated to a net increase from baseline in PaO2, PaO2/FiO2 and StO2 (65, mmHg 110 and 2.6% respectively) PaO2/FiO2 increased during PP (&Delta; PaO2/FiO2 110.42 mmHg [28.173; 192.67]) and after PP (37.75 [-1.57; 77.07] compared with previous supine position (baseline PaO2FiO2 median-IQR97.8 [97.2 &ndash; 99.4]). Two patients required intubation. Six patients were discharged from the ICU and one remains on mechanical ventilation.</p> <p><strong>Conclusions</strong>:<br> We found that PP improved oxygenation and may avoid intubation in ICU patients with COVID-19 and moderate or severe ARDS. PP was relatively well tolerated in our patients. and may be a simple strategy to improve oxygenation trying to reduce patients in mechanical ventilation and the length of stay in the ICU, especially in the COVID-19 pandemic.</p> <p><strong>GitHub repository</strong>:</p> <p>https://github.com/medicalc/prone_sars</p>

opencc-by-4.0May 2020View details →
zenodo36/100

Patient-reported physical functioning of critical illness survivors 1-year after ICU-admission

<p>Dataset for manuscript: &quot;Patient-reported physical functioning is limited in almost half of critical illness survivors 1-year after ICU-admission: a retrospective single-centre study&quot;</p>

opencc-by-4.0Oct 2020View details →
zenodo36/100

PASS - A SCORING SYSTEM TO EVALUATE PERSISTENT ACUTE KIDNEY INJURY IN CRITICALLY ILL ADULT ICU PATIENTS

<p>Acute Kidney Injury (AKI) and sepsis is highly prevalent in Intensive Care Units (ICU) and has direct effect on mortality and morbidity. We aimed to evaluate if course and recovery of&nbsp; sepsis-AKI can be predicted using variables collected at the time of admission, and to develop a formula - Persistent AKI Scoring System (PASS) to predict recovery.</p> <p>63 consecutive patients admitted for sepsis-AKI in our ICUs were evaluated over a period of 8 months. Baseline demographic and clinical/laboratory parameters ,including serum creatinine (SCr), Base Excess (BE), Plethysmographic Variability Index (PVI), Caval Index, R wave Variability (RVI), Mean Arterial Pressure (MAP) and Renal Resistivity Index (RI) using renal doppler and need for inotropes were assessed on admission. Patients were managed with standard protocols with fluid resuscitation and other specific therapy. After 6 of hours of fluid resuscitation, hemodynamic status and volume status of the patient was assessed. Patients were classified as Volume Responders or Non-responders depending on hemodynamic stabilization using parameters like MAP. Re- assessment of all the variables was done at 24 hours and 72 hours after admission. The primary outcome was persistent AKI after 72hrs. The secondary outcome was initiation of dialysis and death within 15 days of admission.</p> <p>34 subjects recovered from AKI.&nbsp; 32 patients showed volume response with respect to hemodynamic parameters and 31 patients were non-responders. Response to fluid, MAP at admission, MAP after 6 hours, BE at admission, inotrope requirement, and PVI at admission did not correlate with recovery of AKI. RI, RVI and S Cr at admission significantly correlated with recovery from AKI These 3 parameters were evaluated further to develop the model for predicting recovery from AKI.&bull; Score&gt; 7.8 predicted recovery from AKI with sensitivity of 79.4%, specificity of 72.4%. PPV 81.8% and NPV 76.7%. PASS Score&gt;7.8 had AUROC of 0.85.</p> <p>Multiple logistic regression showed that SCr&lt; 2.36 mg%, RVI &gt; 14.45 and RI &lt; 0.8 on&nbsp; &nbsp;admission correlated with recovery.</p> <p>PASS SCORE Formula&nbsp;was created using the same.</p> <p>CONCLUSION: PASS score can be a simple bed side method to reliably identify salvageable cases of sepsis-AKI, guiding fluid resuscitation and also aiding early referrals from rural to higher centers for better management.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

PASS: A scoring system to evaluate persistent kidney injury in critically ill ICU adult patients

<p>Acute Kidney Injury (AKI) and sepsis is highly prevalent in Intensive Care Units (ICU) and has direct effect on mortality and morbidity. We aimed to evaluate if course and recovery of&nbsp; sepsis-AKI can be predicted using variables collected at the time of admission, and to develop a formula - Persistent AKI Scoring System (PASS) to predict recovery.</p> <p>63 consecutive patients admitted for sepsis-AKI in our ICUs were evaluated over a period of 8 months. Baseline demographic and clinical/laboratory parameters ,including serum creatinine (SCr), Base Excess (BE), Plethysmographic Variability Index (PVI), Caval Index, R wave Variability (RVI), Mean Arterial Pressure (MAP) and Renal Resistivity Index (RI) using renal doppler and need for inotropes were assessed on admission. Patients were managed with standard protocols with fluid resuscitation and other specific therapy. After 6 of hours of fluid resuscitation, hemodynamic status and volume status of the patient was assessed. Patients were classified as Volume Responders or Non-responders depending on hemodynamic stabilization using parameters like MAP. Re- assessment of all the variables was done at 24 hours and 72 hours after admission. The primary outcome was persistent AKI after 72hrs. The secondary outcome was initiation of dialysis and death within 15 days of admission.</p> <p>34 subjects recovered from AKI.&nbsp; 32 patients showed volume response with respect to hemodynamic parameters and 31 patients were non-responders. Response to fluid, MAP at admission, MAP after 6 hours, BE at admission, inotrope requirement, and PVI at admission did not correlate with recovery of AKI. RI, RVI and S Cr at admission significantly correlated with recovery from AKI These 3 parameters were evaluated further to develop the model for predicting recovery from AKI.&bull; Score&gt; 7.8 predicted recovery from AKI with sensitivity of 79.4%, specificity of 72.4%. PPV 81.8% and NPV 76.7%. PASS Score&gt;7.8 had AUROC of 0.85.</p> <p>Multiple logistic regression showed that SCr&lt; 2.36 mg%, RVI &gt; 14.45 and RI &lt; 0.8 on&nbsp; &nbsp;admission correlated with recovery.</p> <p>PASS SCORE Formula&nbsp;was created using the same.</p> <p>CONCLUSION: PASS score can be a simple bed side method to reliably identify salvageable cases of sepsis-AKI, guiding fluid resuscitation and also aiding early referrals from rural to higher centers for better management.</p>

opencc-by-4.0Jun 2023View details →
ClinicalTrials.gov36/100

Early Antibiotics After Aspiration in ICU Patients

ClinicalTrials.gov study NCT05079620. IPD Sharing: NO. Countries: 1. Publications: 12.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

A More Physiological Feeding Process in ICU:the Intermittent Infusion With Semi-solidification of Nutrients

ClinicalTrials.gov study NCT03017079. IPD Sharing: NO. Countries: 1. Publications: 8.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Intravenous Exenatide in Coronary Intensive Care Unit (ICU) Patients

ClinicalTrials.gov study NCT00736229. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Drainage Of Pleural Effusions in the Intensive Care Unit (DOPE-ICU) - Feasibility Trial

ClinicalTrials.gov study NCT06709456. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Effect of Providing Stratification of Low Risk Penicillin Allergies on Penicillin Allergy Label Removal in ICU Setting

ClinicalTrials.gov study NCT03702283. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

A Communication Tool to Improve Communication in the ICU

ClinicalTrials.gov study NCT05780918. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Effect of EPA and HMB on Strength in ICU Patients

ClinicalTrials.gov study NCT01270516. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Code Status Discussions in Muslim ICU Patients: Insights Into Physician-Family Communication

ClinicalTrials.gov study NCT07243041. IPD Sharing: NO. Countries: 1. Publications: 16.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Gelatin in ICU and Sepsis

ClinicalTrials.gov study NCT02715466. IPD Sharing: Not stated. Countries: 5. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Patient Important Gastrointestinal Bleeding in the ICU

ClinicalTrials.gov study NCT05506150. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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