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58
datasets available to search
ShareScore release 0.9.0
Dataset results
58 results for “Succession models”
Predictive Factors of a Successful Implant of the CapsureFix MRI Model 5086
ClinicalTrials.gov study NCT01522755. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: A stochastic model for annual reproductive success
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Data from: Is saltmarsh restoration success constrained by matching natural environments or altered succession? a test using niche models
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Data from: Modelled three-dimensional suction accuracy predicts prey capture success in three species of centrarchid fishes
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Data from: Species’ ecological functionality alters the outcome of fish stocking success predicted by a food-web model
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Preconception Paternal Alcohol Exposure Decreases IVF Embryo Survival and Pregnancy Success Rates in a Mouse Model
GEO Series GSE214726. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Predicting species-resolved macronutrient acquisition during succession in a model phototrophic biofilm using an integrated 'omics approach
GEO Series GSE99220. phototrophic enrichment culture UCC-O. 12 samples. Type: Expression profiling by high throughput sequencing.
RNA seq analysis of regenerating hearts from three models of successful cardiac regeneration
GEO Series GSE108493. Ambystoma mexicanum; Mus musculus; Danio rerio. 54 samples. Type: Expression profiling by high throughput sequencing.
Host senescence determines the success of hepatocyte transplantation in a mouse model of liver injury
GEO Series GSE240081. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Data from: Cost-minimization model of a multidisciplinary antibiotic stewardship team based on a successful implementation on a urology ward of an academic hospital
Background: In order to stimulate appropriate antimicrobial use and thereby lower the chances of resistance development, an Antibiotic Stewardship Team (A-Team) has been implemented at the University Medical Center Groningen, the Netherlands. Focus of the A-Team was a pro-active day 2 case-audit, which was financially evaluated here to calculate the return on investment from a hospital perspective. Methods: Effects were evaluated by comparing audited patients with a historic cohort with the same diagnosis-related groups. Based upon this evaluation a cost-minimization model was created that can be used to predict the financial effects of a day 2 case-audit. Sensitivity analyses were performed to deal with uncertainties. Finally, the model was used to financially evaluate the A-Team. Results: One whole year including 114 patients was evaluated. Implementation costs were calculated to be €17,732, which represent total costs spent to implement this A-Team. For this specific patient group admitted to a urology ward and consulted on day 2 by the A-Team, the model estimated total savings of €60,306 after one year for this single department, leading to a return on investment of 5.9. Conclusions: The implemented multi-disciplinary A-Team performing a day 2 case-audit in the hospital had a positive return on investment caused by a reduced length of stay due to a more appropriate antibiotic therapy. Based on the extensive data analysis, a model of this intervention could be constructed. This model could be used by other institutions, using their own data to estimate the effects of a day 2 case-audit in their hospital.
A clinical model to predict successful renal replacement therapy (RRT) discontinuation in patients with Acute Kidney Injury (AKI)
<p>The dataset used to generate analysis included in the study "A clinical model to predict successful renal replacement therapy (RRT) discontinuation in patients with Acute Kidney Injury (AKI)"</p>
Evaluation of the Success of Artificial Intelligence Models in Interpreting Arterial Waveform Analysis Data
ClinicalTrials.gov study NCT06828575. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Development of a Scoring and Prediction Model for Weaning Success in ARDS Patients Using Ventilation Parameters Combined with Artificial Intelligence and Deep Learning Techniques
ClinicalTrials.gov study NCT06751693. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Training and Follow-up Given According to the Health Promotion Model on Relactation Success
ClinicalTrials.gov study NCT05697302. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Cost-minimization model of a multidisciplinary antibiotic stewardship team based on a successful implementation on a urology ward of an academic hospital
Open the record for dataset details and reuse information.
Using Artificial Intelligence Models for Predicting The Need for Intubation and Successful Weaning From Mechanical Ventilation in ICU Patients
ClinicalTrials.gov study NCT07065838. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
The Effect of Model-based Education on Breastfeeding Self-efficacy and Success
ClinicalTrials.gov study NCT07236255. IPD Sharing: NO. Countries: 0. Publications: 0.
Predictors of success in establishing orthotopic patient-derived xenograft models of triple negative breast cancer
GEO Series GSE216333. Homo sapiens. 207 samples. Type: Expression profiling by array.
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.