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2,885 results for “Transfers”

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geo16/100

Innate Lymphoid Cells Integrate Sensing and Plasticity to Control Fungal Infections [whole lung tissue after ILC transfer_Afu infected]

GEO Series GSE293054. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2026View details →
geo16/100

Identification and characterization of a novel StAR-related lipid transfer protein in Entamoeba histolytica that shuttles phosphoinositides between the nucleus and the cytoplasm: role in growth, stres

GEO Series GSE287946. Entamoeba histolytica. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2025View details →
geo16/100

OT-II T cells derived from uninfected or N.b. infected hosts transferred into congenic recipient post immunization

GEO Series GSE221474. Mus musculus. 7 samples. Type: Other.

openGEO-OpenAug 2024View details →
zenodo16/100

Horizontal Scaling Media Transfer Performance Experiment Data

<p>This dataset provides performance data rate&nbsp;measurements a 3GPP-compliant service-based architecture platform that demonstrates the concept of&nbsp;cloud-native service orchestration and routing for a media vertical sector application. Cloud-native service orchestration and routing&nbsp;is a complete end-to-end approach that enables virtualisation and management of multiple layers in the OSI model, which provides&nbsp;considerable flexibility and control to achieve delivery of QoS to users in the face of varying demand, at reasonable cost.&nbsp;</p>

restrictedMay 2020View details →
zenodo16/100

Dataset related to article "The human factor: does the operator performing the embryo transfer significantly impact the cycle outcome?"

<p>This record contains data related to article&nbsp;&ldquo;The human factor: does the operator performing the embryo transfer significantly impact the cycle outcome?&rdquo;.</p> <p>&nbsp;</p> <p>Abstract</p> <p><strong>Study question:&nbsp;</strong>Is Ongoing Pregnancy Rate (OPR) operator-dependent, and can experience improve embryo transfer efficiency?</p> <p><strong>Summary answer:&nbsp;</strong>OPR is influenced by the operators who perform the embryo transfer (ET), and experience does not assure proficiency for everyone.</p> <p><strong>What is known already:&nbsp;</strong>ET remains the critical step in assisted reproduction. Although many other factors such as embryo quality and uterine receptivity impact embryo implantation, the proper ET technique is clearly an operator-dependent variable and as such it should be objectively standardized.</p> <p><strong>Study design, size, duration:&nbsp;</strong>Retrospective comparative analysis including all fresh ETs performed between January 1996 and December 2016 at the Humanitas Fertility Center after IVF-ICSI cycles.</p> <p><strong>Participants/materials, setting, methods:&nbsp;</strong>IVF/ICSI fresh ETs performed by 32 operators, 19 824 cycles in all, were analyzed. All transfers consisting of freehand insertion of a preloaded soft catheter into the uterine cavity under transabdominal ultrasound guidance were considered. Two different statistical analyses were performed. First, a logistic regression model with a random intercept for the operator was used to estimate the heterogeneity of the rate of success among operators, accounting for woman age, FSH, number of oocytes retrieved, fertilization rate, year of the procedure, number and stage of transferred embryos and operator&#39;s experience. Second, the relationship between experience and pregnancy rate was estimated separately for each operator by logistic regression, and operator-specific results were combined and compared in a random-effects meta-analysis. In both analyses, the operator&#39;s experience at time t was measured in terms of number of embryo transfers performed before t.</p> <p><strong>Main results and the role of chance:&nbsp;</strong>The heterogeneity among operators was highly significant (P value &lt;0.001) and explained 44.5% of the total variability. The odds ratio of success of the worst operator in respect to the mean was equal to 0.84. For the best operator, the odds ratio of success was equal to 1.13 in respect to the mean. Based on the meta-analysis of the relationship between operator&#39;s experience and success rate, it resulted that, on average, the operators&#39; performance did not improve with additional transfers.</p> <p><strong>Limitations, reasons for caution:&nbsp;</strong>At our center, operators become independent for ET&#39;s after performing between 30 and 50 transfers under supervision. It is also possible that other relevant factors, such as embryologists on duty for the ET, have not been included in the present analysis and this may represent a potential bias. Among these, it should be mentioned that the embryologists on duty for the ET were not taken into consideration.</p> <p><strong>Wider implications of the findings:&nbsp;</strong>Continued performance analysis and the use of a digital simulator could help operators to test their expertise over time and either correct poor performance or avoid doing transfers.</p> <p><strong>Study funding/competing interest(s):&nbsp;</strong>None.</p> <p><strong>Trial registration number:&nbsp;</strong><a href="http://clinicaltrials.gov/show/NCT03561129">NCT03561129</a>.</p>

restrictedJan 2021View details →
zenodo16/100

Manually Labeled RGB, LWIR, and RGB-LWIR Images of Cars and Trucks for Multispectral Automated Transfer Technique (MATT) Research

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Nov 2023View details →
zenodo16/100

Segmented RGB, LWIR, and RGB-LWIR Images of Cars and Trucks for Multispectral Automated Transfer Technique (MATT) Research

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Nov 2023View details →
zenodo16/100

Dataset from "A new simulation method of hydrothermal coupling transfer in freeze-thaw process based on the water physical phase change"

<p>The original dataset comprises precipitation and atmospheric temperature monitoring data for the entire duration of 2020-2021 in the region located in Fusong County, Baishan City, southeastern Jilin Province (127°01'-128°06'E, 41°42'-42°49'N, covering an area of 6159 square kilometers)., along with temperature and moisture monitoring data for two designated sites, T01 and T02, at soil depths of 20cm, 40cm, 70cm, 100cm, and 150cm.</p>

embargoedcc-by-4.0Dec 2023View details →
zenodo16/100

Figures 3–11 in An electron microscope study and re-description of the type specimens of Synedra subula and its transfer to Ctenophora (Bacillariophyta)

Figures 3–11. Ctenophora subula SEM images

opennotspecifiedDec 2023View details →
zenodo16/100

Ultrafast spin transfer and its impact on the electronic structure

<p>Data for the publication "Ultrafast spin transfer and its impact on the electronic structure".</p> <p>&nbsp;</p>

restrictedcc-by-4.0Apr 2024View details →
zenodo16/100

Data set for "Stability limitations of optical frequency transfer in telecommunication DWDM networks"

<p>Here we share the relevant data of the manuscript &ldquo;Stability limitations of optical frequency transfer in telecommunication DWDM networks&rdquo;.</p> <p>The files:</p> <ul> <li>&ldquo;fig_2a_total.txt&rdquo;</li> <li>&ldquo;fig_2a_diff.txt&rdquo;</li> </ul> <p>contains respectively the timeseries data of phase fluctuations of total delay and differential delay between two fibers in 50 km-long soil-deployed cable. Same results for 110 km-long aerial cable are in files:</p> <ul> <li>&ldquo;fig_2b_total.txt&rdquo;</li> <li>&ldquo;fig_2b_diff.txt&rdquo;</li> </ul> <p>The files:</p> <ul> <li>&ldquo;fig_3_aerial_MDEV_points.txt&rdquo;</li> <li>&ldquo;fig_3_soil_MDEV_points.txt&rdquo;</li> </ul> <p>contains respectively points of modify Allan deviation of the differential delay fluctuations in 110 km-long aerial and 70 km-long soil-deployed cable. For short averaging the stability is limited by the noise of time interval counter (MTC 108). Before MDEV calculations the differential delay fluctuations was divided by factor of two, as a half of these fluctuations is present at the output of a stabilized system.</p> <p>The files:</p> <ul> <li>&ldquo;fig_4_soil_MDEV_points_CW-total.txt&rdquo;</li> <li>&ldquo;fig_4_soil_MDEV_points_CW-diff.txt&rdquo;</li> </ul> <p>contains respectively points of modify Allan deviation of the total and differential delay fluctuations in 70km soil-deployed cable, measured with the unmodulated coherent optical carrier.</p> <p>The files:</p> <ul> <li>&ldquo;fig_7a_EDFA_phase.txt&rdquo; and &ldquo;fig_7a_EDFA_temp.txt&rdquo;</li> <li>&ldquo;fig_7b_Raman_phase.txt&rdquo; and &ldquo;fig_7b_Raman_temp.txt&rdquo;</li> <li>&ldquo;fig_7c_ROADM_phase.txt&rdquo; and &ldquo;fig_7c_ROADM_temp.txt&rdquo;</li> </ul> <p>contains the timeseries data of simultaneous measurement of phase and temperature changes in individual cards (modules) of the DWDM system: EDFA amplifier, card containing the Raman module, as well as ROADM (Reconfigurable Optical Add Drop Multiplexer) module.</p> <p>Time series data of the fluctuations of the total and differential propagation delay of the signal transfer in the unmodified DWDM system (over 1500 km long route) include files:</p> <ul> <li>&ldquo;fig_9_total_phase_fluct_part1&rdquo;, &ldquo;fig_9_total_phase_fluct_part2&rdquo;, &ldquo;fig_9_total_phase_fluct_part1&rdquo; &nbsp;</li> <li>&ldquo;fig_9_diff_phase_fluct_part1&rdquo;, &ldquo;fig_9_diff_phase_fluct_part2&rdquo;, &ldquo;fig_9_diff_phase_fluct_part3&rdquo;</li> </ul> <p>The files:</p> <ul> <li>&ldquo;fig_10_mdev_acusticNOISE.txt&rdquo;</li> <li>&ldquo;fig_10_mdev_air-conditioning_ON.txt&rdquo;</li> <li>&ldquo;fig_10_mdev_air-conditioning_MODIFIED.txt&rdquo;</li> </ul> <p>contains points of modify Allan deviation that shows respectively: the influence of acoustic noise, stability of the frequency transfer in DWDM network&nbsp; in the case of sub-optimal (asymmetric) cooling within a single ILA node, while the last file shows the stability of the transfer after optimizing the airflow within this node.</p> <ul> </ul>

restrictedDec 2019View details →
zenodo16/100

Replication Package for "Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda"

<p>These files contain survey instruments and complete replication materials for the paper "Cash versus Kind: &nbsp;Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda".&nbsp; <strong>This record has been restricted given concerns over personally identifying information in some files, and the updated replication materials have been moved to a new location within the EJ's Zenodo Community</strong>:&nbsp; <a href="https://doi.org/10.5281/zenodo.15881328" target="_blank" rel="noopener">10.5281/zenodo.15881328</a></p>

restrictedcc-by-4.0May 2024View details →
zenodo16/100

Deep transfer learning for detection of breast arterial calcifications on mammograms: a comparative study

<p>Introduction Breast arterial calcifications (BAC) are common incidental findings on routine mammograms, which<br>have been suggested as a sex-specific biomarker of cardiovascular disease (CVD) risk. Previous work showed the efficacy<br>of a pretrained convolutional network (CNN), VCG16, for automatic BAC detection. In this study, we further tested<br>the method by a comparative analysis with other ten CNNs.<br>Material and methods Four-view standard mammography exams from 1,493 women were included in this retrospective<br>study and labeled as BAC or non-BAC by experts. The comparative study was conducted using eleven<br>pretrained convolutional networks (CNNs) with varying depths from five architectures including Xception, VGG,<br>ResNetV2, MobileNet, and DenseNet, fine-tuned for the binary BAC classification task. Performance evaluation<br>involved area under the receiver operating characteristics curve (AUC-ROC) analysis, F1-score (harmonic mean of precision<br>and recall), and generalized gradient-weighted class activation mapping (Grad-CAM++) for visual explanations.<br>Results The dataset exhibited a BAC prevalence of 194/1,493 women (13.0%) and 581/5,972 images (9.7%). Among<br>the retrained models, VGG, MobileNet, and DenseNet demonstrated the most promising results, achieving AUCROCs<br>&gt; 0.70 in both training and independent testing subsets. In terms of testing F1-score, VGG16 ranked first, higher<br>than MobileNet (0.51) and VGG19 (0.46). Qualitative analysis showed that the Grad-CAM++ heatmaps generated<br>by VGG16 consistently outperformed those produced by others, offering a finer-grained and discriminative localization<br>of calcified regions within images.<br>Conclusion Deep transfer learning showed promise in automated BAC detection on mammograms, where relatively<br>shallow networks demonstrated superior performances requiring shorter training times and reduced resources.<br>Relevance statement Deep transfer learning is a promising approach to enhance reporting BAC on mammograms<br>and facilitate developing efficient tools for cardiovascular risk stratification in women, leveraging large-scale mammographic<br>screening programs.<br>Key points<br>&bull; We tested different pretrained convolutional networks (CNNs) for BAC detection on mammograms.<br>&bull; VGG and MobileNet demonstrated promising performances, outperforming their deeper, more complex<br>counterparts.<br>&bull; Visual explanations using Grad-CAM++ highlighted VGG16&rsquo;s superior performance in localizing BAC.</p>

restrictedcc-by-4.0Jun 2024View details →
zenodo16/100

Data files for the publication "Dissecting the hydrogen bond network of water: charge transfer and nuclear quantum effects"

<p>This dataset includes text/dat files for all the data included in the manuscript "Dissecting the hydrogen bond network of water: charge transfer and nuclear quantum effects".</p>

restrictedcc-by-4.0Sep 2024View details →
zenodo16/100

Fig. 2 in Insights on the antiradical capacity and mechanism of phytocannabinoids: H-abstraction and electron transfer processes in physiological media and the influence of the acid-base equilibrium

Fig. 2. Energy and distribution of HOMOs and LUMOs of phytocannabinoids.

opennotspecifiedApr 2023View details →
zenodo16/100

Revisiting Ion-Pair Interactions in Phase Transfer Catalysis: From Ionic Compounds to Real Catalyst Systems

<p>Supporting information for the paper: Revisiting Ion-Pair Interactions in Phase Transfer Catalysis: From Ionic Compounds to Real Catalyst Systems</p>

openOct 2023View details →
ClinicalTrials.gov16/100

Transfer of Fresh Versus Frozen/Thawed Embryos in IVF Cycles Where GnRH Agonist is Utilized for Oocyte Maturation.

ClinicalTrials.gov study NCT00365027. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

Mitochondrial components transferred by MSC-derived exosomes promoted bone regeneration under high salt microenvironment via DRP1/Wnt signaling

GEO Series GSE255467. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2024View details →
geo16/100

Synthetic apomixis transfers stably over multiple generations in hybrid rice

GEO Series GSE214179. Oryza sativa. 24 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.

openGEO-OpenSep 2022View details →
geo16/100

Identification of hepatocyte-primed biliary epithelial cells in the homeostatic liver by in vivo lentiviral gene transfer to mice and non-human primates [1]

GEO Series GSE232369. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2024View 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

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