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.

31

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

31 results for “Normalizing Flows”

Learn how ShareScore rates datasets ↗
zenodo40/100

Datasets and Trained Models of the paper: The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows

<p><strong>Training Data and Trained models corresponding to the publication: 'The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows' (<a href="https://arxiv.org/abs/2309.09743">arXiv:2309.09743</a>).</strong></p> <p>The files cointain the relevant resources for 3 trained Likelihood functions: The Toy-Likelihood, the EW-Likelihood and the Flavor-Likelihood. In each corresponding directory, the training data is found in \data. The trained model and generated samples are found in \NFmodel.</p> <p>To reproduce the published results, git clone&nbsp;https://github.com/NF4HEP/NFLikelihoods,&nbsp; and plug in the provided resources in the corresponding directories of the code.</p> <p>&nbsp;</p> <p>&nbsp;</p>

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

Data and movies for "Flow of the normal component of He II about bluff objects as recorded by 〖He〗_2^* excimers"

<p>The directory is subdivided for the cylinder and flat plate bluff objects.&nbsp; Each subdirectory is further subdivided into data and movie subdirectories.</p> <p>&quot;Data&quot; consists of raw data collected from the camera.&nbsp; In the data directory is a listing of the filename with the power applied to the heater.&nbsp; Filenames of background data are also listed. &nbsp;</p> <p>&quot;Movie&quot; consists of frames integrated over 0.5 second intervals (28 frames).&nbsp; The movies include only excimer peaks for which the intensity of the peak is &gt;3 sigma (~45). Where sigma is the standard deviation of the per frame background.</p> <p>A basic Jupiter Notebook is included in the top-level directory.&nbsp; This notebook (and the python code used by the notebook) will allow a user to upload a data file and a background file, subtract the background and place the net result into a NumPy array with dimensions of 256 x 256 x 1500, which represent the 2 directions in position and time in seconds.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Data products associated with "Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows"

<p>These are the data products associated with "Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows" by J. F. Crenshaw, et. al. This includes the input catalog and the outputs of the workflow described here https://github.com/jfcrenshaw/pzflow-paper, as well as a gzip of the github repo.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Generative Machine Learning for Detector Response Modeling with a Conditional Normalizing Flow

<p>The samples are datasets used for testing in the scenarios: baseline (corr0.hdf5), correlation of 0.5 (corr50.hdf5), correlation of 1.0 (corr100.hdf5), and asymmetric detector responses (asymmetric.hdf5). Each file contains the conditional variables, generated and simulated detector responses, and generated and simulated reconstruction-level variables.&nbsp;</p>

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

Effect of Alphagan on Retinal Blood Flow Autoregulation and Motion Detection in Patients With Normal Pressure Glaucoma

ClinicalTrials.gov study NCT01105065. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
zenodo32/100

Event Generation and Density Estimation with Surjective Normalizing Flows: Dataset

<p>The four-gluino and two-gluino data used in 2205.01697 .</p>

opencc-by-4.0May 2022View details →
zenodo32/100

Data used for the Master Thesis "Multi Modal Generative Learning utilizing Normalizing Flows"

<p>Dataset needed to reproduce the Master Thesis &quot;Multi Modal Generative Learning utilizing Normalizing Flows&quot;.</p> <p>It contains trained models and their evaluation results.</p> <p>For more details see the&nbsp;<a href="https://github.com/Jimmy2027/MMNF_RepSeP">github repository</a>.</p>

opengpl-2.0Oct 2021View details →
ClinicalTrials.gov32/100

Predictive Value of Flow MRI in Normal Pressure Hydrocephalus Surgery

ClinicalTrials.gov study NCT01815775. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Effect of Blood Carboxyhemoglobin Levels on Total Antioxidant (Tas), Total Oxidant(Tos), Hypoxia Inducible Factor-1a (hif1a) During Low-flow and Normal-flow Anesthesia

ClinicalTrials.gov study NCT05661045. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

The Effects of Low Flow and Normal Flow Desflurane Anesthesia

ClinicalTrials.gov study NCT05414721. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Comparison of Low Versus Normal Flow Anesthesia on Cerebral Oxygenation and Bispectral Index in Morbidly Obese Patients

ClinicalTrials.gov study NCT03438734. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Normal Variability of Tidal Breathing Flow-volume Curves During Sleep in Healthy Children

ClinicalTrials.gov study NCT03785847. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
zenodo28/100

Dynamic flow on monitor during normal saline flushed

<p>Dynamic flow on monitor during normal saline flushed</p>

opencc-by-4.0Mar 2022View details →
ClinicalTrials.gov28/100

The Effects of Normalizing Blood Pressure on Cerebral Blood Flow in Hypotensive Individuals With Spinal Cord Injury

ClinicalTrials.gov study NCT02893553. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo24/100

Single-cell RNA sequencing of normal, early glioblastoma, and late glioblastoma flow sorted by CD45

GEO Series GSE196175. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2022View details →
ClinicalTrials.gov24/100

Comparison of Low and Normal Flow Anesthesia in Robotic Assisted Radical Prostatectomy

ClinicalTrials.gov study NCT05517551. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Circadian Variations in Ocular Blood Flow in Glaucomatous and Normal Eyes

ClinicalTrials.gov study NCT00707226. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Qualitative and Quantitative Evaluation of Vascular Flows of Radial, Ulnar and Interdigital Arterial Trees Under Normal and Pathological Conditions by 3 Tesla MRI

ClinicalTrials.gov study NCT04257747. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Optic Nerve Sheath Diameter in Low-flow and Normal-flow Rate Anesthesia

ClinicalTrials.gov study NCT05946200. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

İn This Study, Patients Undergoing Bariatric Surgery Will be Divided Into Two Groups. The Control Group Will Receive Normal-flow, While the Study Group Will Receive Low-flow Inhalational Anesthesia. T

ClinicalTrials.gov study NCT07041567. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 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