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979 results for “HR”

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ClinicalTrials.gov40/100

An Efficacy and Safety Study of Pevonedistat Plus Azacitidine Versus Single-Agent Azacitidine in Participants With Higher-Risk Myelodysplastic Syndromes (HR MDS), Chronic Myelomonocytic Leukemia (CMML

ClinicalTrials.gov study NCT02610777. IPD Sharing: YES. Countries: 12. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Study of 2 Ribociclib Doses in Combination With Aromatase Inhibitors in Women With HR+, HER2- Advanced Breast Cancer

ClinicalTrials.gov study NCT03822468. IPD Sharing: YES. Countries: 23. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

A Phase III Study of BKM120 With Fulvestrant in Patients With HR+,HER2-, AI Treated, Locally Advanced or Metastatic Breast Cancer Who Progressed on or After mTORi

ClinicalTrials.gov study NCT01633060. IPD Sharing: UNDECIDED. Countries: 22. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov40/100

Study Assessing the Efficacy and Safety of Alpelisib Plus Fulvestrant or Letrozole, Based on Prior Endocrine Therapy, in Patients With PIK3CA Mutant, HR+, HER2- Advanced Breast Cancer Who Have Progres

ClinicalTrials.gov study NCT03056755. IPD Sharing: YES. Countries: 19. Publications: 4.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Study to Assess the Safety and Efficacy of Ribociclib (LEE011) in Combination With Letrozole for the Treatment of Men and Pre/Postmenopausal Women With HR+ HER2- aBC

ClinicalTrials.gov study NCT02941926. IPD Sharing: YES. Countries: 38. Publications: 5.

controlledIPD-YESFeb 2026View details →
dryad40/100

Interactive 3D PDF file for the structures 10 hr juvenile of Oikopleura dioica and supplementary movie S1-20 with high resolution

Open the record for dataset details and reuse information.

publicMar 2021View details →
zenodo36/100

HR-EBSD Measurements near Twins in Zicaloy-2

<p>HR-EBSD measurements made on a Zircaloy-2 sample deformed to 2.7% in tension to generate multiple deformation twins.&nbsp;<br /> HR-EBSD measurements were made using A Bruker HReFlash detector mounted on a Zeiss Merlin SEM. Sample preparation used Ar ion beam milling on a Gatan PECS II system as a final step.&nbsp;<br /> The strain, stress and dislocation density variations available here were then calculated using in-house Matlab code (XEBSD). &nbsp;The work and further analysis of the results is described in</p> <p><em>Assessment of residual stress fields at deformation twin tips and the surrounding environments</em>, Abdolvand &amp; Wilkinson, Acta Materialia (2016)<br /> dx.doi.org/10.1016/j.actamat.2015.11.036</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>The analysis methods implement in XEBSD are described in the following publications:</p> <p>High resolution electron backscatter diffraction measurements of elastic strain variations in the presence of larger lattice rotations&nbsp;<br /> TB Britton and AJ Wilkinson&nbsp;<br /> Ultramicroscopy, (2012), vol. 114, 82-95&nbsp;<br /> doi:10.1016/j.ultramic.2012.01.004</p> <p>Measurement of residual elastic strain and lattice rotations with high resolution electron backscatter diffraction&nbsp;<br /> TB Britton and AJ Wilkinson&nbsp;<br /> Ultramicroscopy, (2011) vol. 111, 1395-1404&nbsp;<br /> doi:10.1016/j.ultramic.2011.05.007</p> <p>Determination of elastic strain fields and geometrically necessary dislocation distributions near nanoindents using electron back scatter diffraction&nbsp;<br /> AJ Wilkinson and D Randman&nbsp;<br /> Philosophical Magazine, (2010), vol. 90, 1159-1177&nbsp;<br /> doi:10.1080/14786430903304145</p> <p>Crystal Plasticity Analysis of Micro-Deformation, Lattice Rotation and Geometrically Necessary Dislocation Density&nbsp;<br /> FPE Dunne, R Kiwanuka, AJ Wilkinson&nbsp;<br /> Proc. Royal Society A, (2012), vol. 468, 2509-2531&nbsp;<br /> doi:10.1098/rspa.2012.0050</p>

opencc-zeroDec 2014View details →
zenodo36/100

Complete Data and Results for "Four-of-a-kind? Comprehensive atmospheric characterisation of the HR~8799 planets with VLTI/GRAVITY"

<p><strong>Four-of-a-kind? Comprehensive atmospheric characterisation of the HR~8799 planets with VLTI/GRAVITY</strong></p> <p>We explored the atmospheres of the HR 8799 system of directly imaged planets using petitRADTRANS atmospheric retrievals. This required reprocessing existing data, preparing new observations from VLTI/GRAVITY and combining additional archival spectroscopic and photometric datasets. We ran 95 retrievals across the four planets, and include here the full set of outputs from the sampling process, as well as synthesised results for each retrieval. Finally, we also include templates for running these retrievals.</p> <p>This data, together with the results of the retrievals and templates for running similar emission spectra retrievals are included in this Zenodo archive. Additional README files are included throughout the archive in order to explain file structures, units, and to provide original references where necessary.&nbsp;An archived repository of the petitRADTRANS code can be found at <span><a href="https://doi.org/10.5281/zenodo.10892021">https://doi.org/10.5281/zenodo.10892021</a>,</span> while the up-to-date repository is available at <span><a href="https://gitlab.com/mauricemolli/petitRADTRANS">https://gitlab.com/mauricemolli/petitRADTRANS</a>.</span></p>

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

Flowing days Derived from CubeSat Imagery and Ground Observations in Hassayampa River (HR), Arizona from 2019-2021 (Water Years)

<p>Flowing days derived from CubeSat imagery and ground observations in Hassayampa River (HR), Arizona from October 2018 to September 2021.&nbsp;This database supports the following paper:</p> <div> <div>Wang,&nbsp;Z., &amp;&nbsp;Vivoni,&nbsp;E. R.&nbsp;(2022).&nbsp;Detecting streamflow in dryland rivers using CubeSats.&nbsp;<em>Geophysical Research Letters</em>,&nbsp;49, e2022GL098729.&nbsp;<a href="https://doi.org/10.1029/2022GL098729">https://doi.org/10.1029/2022GL098729</a></div> </div> <div> <div>&nbsp;</div> </div> <p>This database includes three folders.</p> <ol> <li>GroundObservations: Ground observations along the HR retrieved from USGS website (https://waterdata.usgs.gov/nwis) and Flood Control District of Maricopa County using Single Sensor Data Reports tool (https://alert.fcd.maricopa.gov/showrpts_mc.html): <ol> <li><strong>Precip</strong>: Records of daily precipitation amount.</li> <li><strong>Stream</strong>: Records of daily streamflow amount.</li> </ol> </li> <li>GIS: GIS layers used in deriving flowing days. <ol> <li><strong>Subreach</strong>: Shapefiles of nine sub reaches along the HR.</li> <li><strong>Buffer segment</strong>: Buffer zones perpendicular to HR reaches at 90 m resolution. Column ID is sorted in ascending order along the HR.</li> <li><strong>Channel masks: </strong>Channel masks of HR derived from Planet data.</li> </ol> </li> <li>Results <ol> <li><strong>BufferSegment_Flowdays.xlsx:</strong> Days with flow determined using the NIR difference threshold for water years (WY) 2019 to 2021 for each 90 m buffer areas. The relative location of each buffer areas can be found in the Buffer Segment GIS layer. &lsquo;NaN&rsquo; suggests no data.</li> </ol> </li> </ol> <div> <div>&nbsp;</div> </div>

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

RECETOX Exposome HR-[ESI]-MS library

<p>The RECETOX Mass Spectrum Reference Libraries is a collection of MS spectra collected from authentic compounds. Each Library comprises the spectra in MSP format. The collection is shared under terms &amp; conditions of&nbsp;CC-BY-NC.</p> <p>The RECETOX Exposome Pesticide HR-[ESI]-MS library&nbsp;is a collection of pesticides obtained from Restek Corporation. The RECETOX Exposome Pharmaceutical HR-[ESI]-MS library&nbsp;is a collection of pharmaceuticals selected from Prestwick Chemical Libraries.</p> <p>Compounds were analyzed by liquid chromatography coupled to a&nbsp;Thermo Scientific&trade; Orbitrap Fusion&trade; Tribrid&trade; Mass Spectrometer. Reversed-phase chromatography was performed using&nbsp;a pentabromobenzyl column.&nbsp;Tandem mass spectra were acquired via data-dependent acquisition with higher energy C-trap dissociation and real-time collision energy optimization for positive and negative mode electrospray ionization. The scan range was 85-1275 m/z with MS1 collected at 120K and MS2 at 60K resolving power.&nbsp;</p>

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

HR-GLDD: A globally distributed high resolution landslide dataset

<p>&nbsp;HR-GLDD, a high-resolution (HR) dataset for landslide mapping composed of landslide instances from ten different physiographical regions globally: South and South-East Asia, East Asia, South America, and Central America. The dataset contains five rainfall triggered and five earthquake-triggered multiple landslide events that occurred in varying geomorphological and topographical regions.</p>

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

Database for comparison between Hybrid Capture and PCR techniques for HPV-HR detection

<p>This database displays the results from the HPV-HR detection with the gold standard technique Hybrid Capture 2 (HC2) and different PCR-based techniques. These results are compared in order to determine the degree of agreement between theses techniques.&nbsp;</p>

opencc-by-4.0Sep 2019View details →
zenodo36/100

Time series transcriptomes resolve metabolic pathways underlying crocin's anti-cancer activity | Dataset: sequencing reads (2,6,12,24 hr crocin treatments)

<p><span>Natural products like saffron show promise in treating hepatocellular carcinoma (HCC), but their mechanisms remain unclear. Here, we used time-series transcriptomics to elucidate crocin's anti-cancer mechanisms in HCC cells. We treated HepG2 cells with 1 and 2 mM crocin for 2, 6, 12, and 24 hours and analyzed transcriptomic profiles at each timepoint. The strongest transcriptional response occurred at 2 hours with 1 mM crocin, with diminishing effects at later timepoints. We observed upregulation of metabolic-, adhesion-, and endocytosis-related genes across all timepoints. Pathway analysis revealed activation of DNA damage checkpoints and senescence while proliferation pathways were suppressed. Notably, 52 genes involved in non-alcoholic fatty liver disease were downregulated at 24 hours (FDR p = 8 &times; 10⁻⁸), suggesting reversal of carcinogenic pathways. Strikingly, crocin consistently downregulated spliceosomal machinery genes across all timepoints while upregulating senescence and autophagy pathways. This spliceosome targeting represents a clinically relevant mechanism, as aberrant splicing drives oncogenesis in more than 90% of cancers. The transcription factor PAX5 was significantly upregulated while oncogenic ELK1 targets were downregulated. Our findings show that crocin treatment is accompanied by HCC cell senescence induction through coordinated spliceosome disruption and metabolic reprogramming, providing novel therapeutic targets for hepatocellular carcinoma.</span></p> <p><strong><span>Keywords: </span></strong><span>Hepatocellular carcinoma (HCC), crocin, transcriptomics, spliceosome, senescence, natural anti-cancer compounds</span></p>

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

Sample Raw (PPG, Accel, and Gyro) and Processed (steps, calories, sleep, HR, HRV, SPO2, Respiratory Rate, R-R) data over 24 hours

<p>Over the course of 24 hours, we collected raw (Photoplethysmography (PPG), Acceleration, and Gyro) and processed (steps, calories, sleep, HR, HRV, SPO2, Respiratory Rate, R-R) data samples. Biostrap approaches health insights from a data-driven perspective. Our clinical-grade hardware enables users to accurately track SpO2, HRV, RHR, and a variety of other biometrics with confidence.</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-ic-HR)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>initial condition data for the HR simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

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

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.15eV-HR-z0)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the&nbsp;0.15eV HR simulation at z = 0</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

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

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.0eV-HR)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the 0.0eV HR&nbsp;simulation</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

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

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.15eV-HR-z1)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the&nbsp;0.15eV HR simulation at z = 1</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

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

The Impact of the Three-Dimensional Structure of a Subduction Zone on Time-dependent Crustal Deformation Measured by HR-GNSS

<p>Companion data set to the paper &quot;<strong>The Impact of the </strong><strong>Three-Dimensional Structure of a Subduction Zone on Time-dependent Crustal Deformation Measured by HR-GNSS.</strong>&quot;&nbsp;The &#39;GNSS_Stations&#39; folder contains the GNSS stations used for 2011 <strong>M</strong>7.9 Ibaraki, 2011 <strong>M</strong>7.4 Iwate, 2011A <strong>M</strong>7.3 Miyagi and 2003 <strong>M</strong>8.3 Tokachi 2003 earthquakes. The &#39;Mesh&#39; folder contains the fault geometry mesh files for the Japan Trench, including the GMSH files. The &#39;3D_velocity_model&#39; folder contains the 3D velocity model for the combined West and East domains of the 3D Japan Integrated Velocity Structure Model in a rfile format and the corresponding ifile format. The &#39;Ruptures&#39; folder contains the projected rupture models for each earthquake on the Japan Trench mesh and the corresponding 100 realizations of the mean rupture models generated using FakeQuakes. If you use these data, please cite the associated publication:</p> <p>Fadugba, &shy;O. I., Sahakian, V. J., Diego Melgar, D., Rodgers, A. &amp; Shimony, R. (2023). The Impact of the Three-Dimensional Structure of a Subduction Zone on Time-dependent Crustal Deformation Measured by HR-GNSS.</p>

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

Vollständige Transkripte der Expert*inneninterviews zur Masterarbeit "Digitale Badges als Kompetenznachweis – Erwartungen aus Sicht von HR-Verantwortlichen in Österreich"

<p>Vollst&auml;ndige Transkripte der Expert*inneninterviews zur Masterarbeit &quot;Digitale Badges als Kompetenznachweis &ndash; Erwartungen aus Sicht von HR-Verantwortlichen in &Ouml;sterreich&quot;</p>

opencc-by-4.0Apr 2023View details →

ScienceDex guides

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

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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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.