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522 results for “consolidation”

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zenodo40/100

Figures 1–3 in A consolidated account of the polymorphic Caribbean milliped, Anadenobolus monilicornis (Porat, 1876) (Spirobolida: Rhinocricidae), with illustrations of the holotype

Figures 1–3. Sketches of the holotype of Spirobolus monilicornis by R. L. Hoffman. 1) Caudal end of body, lateral view of right side. 2) Sternum and left anterior gonopod, anterior view, distal extremity of posterior gonopod telopodite protruding from gonocoel. 3) Left posterior gonopod, caudal view. at, anterior gonopod telopodite; e, epiproct; p, paraproct; s, solenomere; st, sternum; tt, tibiotarsus.

opencc-by-4.0Sep 2014View details →
zenodo40/100

Dataset for manuscript "Prefrontal stimulation as a tool to disrupt hippocampal and striatal reactivations underlying fast motor memory consolidation"

<p>Dataset containing the source data corresponding to figures and tables in the manuscript &quot;Prefrontal stimulation as a tool to disrupt hippocampal and striatal reactivations underlying fast motor memory consolidation&quot;, as well as raw behavioral and MEP data and the corresponding analysis scripts.</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Resting-state fMRI data for locating causal hubs of memory consolidation in spontaneous brain network

<p>The mouse fMRI data for the paper &quot;<strong>Locating causal hubs of memory consolidation in spontaneous brain network in male mice</strong>&quot;<strong>&nbsp;</strong>published in <strong>Nature Communications </strong>(DOI:&nbsp;10.1038/s41467-023-41024-z)<strong>. </strong>This includes&nbsp;longitudinal resting-state fMRI data in mice after behavioural training for 1-Day or 5-Day Active Place Avoidance (APA) task, acquired at post-training day 1 and day 8. Due to the large datasets, each group has been packed into several 2GB zip files.&nbsp;They need to be downloaded into the same folder and unpacked together (e.g. 1-Day APA Post training day 1 has five&nbsp;zip files starting&nbsp;with &quot;1DAPA_PostDay1&quot;).&nbsp;The structural and EPI templates and the ROI labels in the AMBMC atlas space are provided in the AMBMC_label.zip.&nbsp;&nbsp;</p>

opencc-by-4.0Aug 2023View details →
ClinicalTrials.gov40/100

Study to Assess the Safety and Efficacy of Midostaurin (PKC412) in Combination With Standard Chemotherapy During Induction and Consolidation Followed by 12 Months of Maintenance Monotherapy in Patient

ClinicalTrials.gov study NCT03379727. IPD Sharing: YES. Countries: 15. Publications: 1.

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

A Randomized Phase III Study to Assess the Effect of a Longer Duration of Consolidation Treatment With Nilotinib on TFR in CP CML.

ClinicalTrials.gov study NCT01743989. IPD Sharing: YES. Countries: 21. Publications: 1.

controlledIPD-YESFeb 2026View details →
dryad40/100

Temporal cluster-based organisation of sleep spindles underlies motor memory consolidation

Open the record for dataset details and reuse information.

publicJan 2024View details →
zenodo36/100

Bio-cementation and crackling noise from calcareous sand and consolidated aggregates

<p>The supporting data for &quot;Bio-cementation and crackling noise from calcareous sand and consolidated aggregates&quot;.</p>

opencc-by-4.0Mar 2020View details →
dryad36/100

Data from: Land consolidation impacts the abundance and richness of natural enemies but not pests in small-holder rice systems

<p>Traditional small-holder agricultural landscapes in southern China are being consolidated to increase mechanization levels in agriculture, but it is unclear how this influences rice arthropod communities in these landscapes. Here, based on a six-year study in 20 rice fields, we evaluated the impact of land consolidation on arthropod communities, crop damage, and rice yield. We also analyzed how effects of land consolidation were moderated by the proportion of large semi-natural habitat patches and insecticide use. We found that, compared to consolidated fields, rice fields in traditional farmlands had a higher abundance and family richness of natural enemies, but a similar abundance of rice pests. Land consolidation did not significantly interact with the proportion of large semi-natural habitat patches or insecticide application, in terms of affecting arthropods. The proportion of semi-natural habitat reduced the negative effect of insecticide application on key rice pests, but no equivalent interaction occurred for natural enemies.</p> <p><em>Syntheses and Applications:</em> Land consolidation can have negative impacts on the abundance and richness of natural enemies, but not pests in small-holder rice systems, and these impacts are independent from insecticide application and proportion of semi-natural habitat in the landscape. We recommend the implementation of agri-environmental measures or re-establishing field margin vegetation during the consolidation process to mitigate these potential negative effects, although trade-off between enhancing crop yields and preserving rice arthropod biodiversity should be considered. We encourage future research to focus on the detailed assessment of the function of linear habitats for a better understanding of the impact of land consolidation.</p>

opencc-zeroDec 2023View details →
zenodo36/100

DDoS Attacks Data Set - Consolidated from CICDDOS2019 and CICIDS2017

<p>This dataset is a transformation of the <a href="https://www.unb.ca/cic/datasets/ddos-2019.html">CICDDOS2019</a> collection of datasets by <a href="https://ieeexplore.ieee.org/abstract/document/8888419">Iman Sharafaldin et al. (2019)</a>. All datasets have been combined and have had their labels standardised. Infinity values have been removed. A supplement of Benign tuples has been introduced from <a href="https://www.unb.ca/cic/datasets/ids-2017.html">CICIDS2017</a>, another collection of datasets by&nbsp;<a href="https://fardapaper.ir/mohavaha/uploads/2018/07/Fardapaper-Toward-Generating-a-New-Intrusion-Detection-Dataset-and-Intrusion-Traffic-Characterization.pdf">Iman Sharafaldin et al. (2018)</a>, to increase the proportion of Benign tuples within the dataset.</p> <p>Our paper: <a href="https://doi.org/10.1063/5.0133063">source1</a>, <a href="https://www.researchgate.net/publication/370975966_Evaluating_classifiers'_performance_on_a_consolidated_DDoS_data_set">source 2 </a>(preprint).</p>

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

Raw Data or the article: Physiopathology and Diagnosis of Congestive Heart Failure: Consolidated Certainties and New Perspectives

<p>Volume overload and fluid congestion are a fundamental issue in the assessment and management of patients with heart failure (HF). Recent studies have found that in acute decompensated heart failure (ADHF), right and left-sided pressures generally start to increase before any notable weight changes take place preceding an admission. ADHF may be a problem of volume redistribution among different vascular compartments instead of, or in addition to, fluid shift from the interstitial compartment. Thus, identifying heterogeneity of volume overload would allow guidance of tailored therapy. A comprehensive evaluation of congestive HF needs to take into account myriad parameters, including physical examination, echocardiographic values, and biomarker serum changes. Furthermore, potentially useful diagnostic tools include bioimpedance to measure intercompartmental fluid shifts, and evaluation of ultrasound lung comets to detect extravascular lung water.</p>

opencc-by-4.0Mar 2022View details →
dryad36/100

Impact of background input on memory consolidation in In-Vitro neural networks

<p>Memory consolidation is a complex process, that can be divided into two stages: first, memories are temporary stored in hippocampus and in the second stage, repeated replay slowly transfers memories to the neo-cortex for long-term consolidation. This 2<sup>nd</sup> stage occurs during slow wave sleep, a phase characterized in the cortex by low cholinergic tone and low afferent input.  A recent in-vitro study showed that high cholinergic tone hampers memory consolidation, probably due to lowered network excitability (defined as the mean network response to one neuron spiking). Here we investigate whether low background input contributes to memory consolidation.</p> <p>We used cortical neuronal networks on multi electrode arrays to study memory. When input deprived, these networks develop an activity-connectivity balance. Focal stimuli initially disrupt the existing balance,  inducing connectivity changes. When repeated, this effect fades and the response becomes part of spontaneous patterns (memory formation). Application of the same stimulus hours later does not affect connectivity indicating that memory was consolidated.</p> <p>We applied five periods (10 min each) of focal electrical stimulation at different electrodes (A B A), separated by 1 hour of spontaneous activity . Some cultures were transfected to express channelrhopsins (ChR2) enabling global optogenetic background stimulation. We used 12 control, 15 ChR2 cultures with no background input and 8 ChR2 cultures with superimposed random optogenetic stimulation during electrical stimulation periods (f<sub>mean</sub>=5 Hz) to mimic afferent input.</p> <p>Background stimulation acutely reduced network excitability during stimulation without persisting effects after cessation. ChR2 cultures showed significantly more dispersed spiking outside network bursts, and network excitability tended to be lower than in control cultures. Stimulation at electrodes A and B induced memory traces in control cultures. Return to electrode A did not further affect connectivity, showing that memory trace A had been consolidated. Background stimulation impeded the formation of memory traces following electrical stimulation at either electrode. ChR2 expression alone also obstructed memorization.</p> <p>These findings confirm the importance of low background afferent input for memory consolidation. The presence of background afferent inputs reduced network excitability, similar to high cholinergic tone. This leads to the conclusion that sufficient network excitability is crucial for memory consolidation, and high network excitability may be a critical feature of  slow wave sleep that makes it more suitable for memory consolidation than the awake state.</p>

opencc-zeroMay 2024View details →
zenodo36/100

Impacts of Freight Consolidation and Truck Sharing on Freight Mobility

<p>Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference:</p> <p>&quot;The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the efficiency of cargo transportation and the ability for small carriers to identify demands to fill full truck loads. The focus of this research is to study models and algorithms in order to aid online freight marketplaces to identify efficient consolidation strategies. To accomplish this aim, a new mixed integer programming model for the pickup and delivery problem has been developed. The model is geared towards identifying effective freight consolidation opportunities. A branch-and-cut algorithm to solve the model was also developed. The model was applied to several case studies using Transplace, Inc. (a third party logistics company) route data to identify optimized, consolidated routes. Emission impacts were also estimated for both the existing and consolidated routes using monetary equivalent cost (MEC) values. A linear regression model was developed to predict freight movement between metropolitan statistical areas (MSAs). Results of the case studies were then applied to estimate the operation and environment-related costs associated with freight movement from New Orleans MSA to Oklahoma City MSA for all commodities. Finally, the results of the case studies were applied at the national level and projected for future years, to estimate the potential cost savings in freight consolidation. Results indicate that it may be possible to consolidate cargo with only 67% of the currently used number of trucks, which may reduce the operation cost by 23% and MEC by 17%.&quot;</p>

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

D1.4 - Consolidated OA data set for responsible research practices and trust in science: POIESIS National and Regional Database

<p>Deliverable 1.4 of the POIESIS project is a consolidated open access data set for responsible research practices and trust in science. D1.4 consists of two databases: the POIESIS National Database and the POEISIS Regional Database. The method and rationale behind the construction of all indicators in both databases are laid out in Work Package 1&rsquo;s previous deliverable, D1.3 (Bauer et al., 2024). The two database are accompanied by a Guidance Sheet which provides details and relevant notes regarding the structure of the two databases.&nbsp;</p> <p>&nbsp;</p>

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

Data set of study The role of REM sleep in consolidating executive function: a prefrontal cortex perspective

Open the record for dataset details and reuse information.

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

Testing the Skill-based Approach: Consolidation strategy impacts Attentional Blink performance

<p>Data accompanying the journal article Testing the Skill-based Approach: Consolidation strategy impacts Attentional Blink performance published in PLOS ONE. It contains the datasets (without personal information) for both experiments and a small R file that can be used to read in the data.</p>

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

Dataset for manuscript "Sleep does not influence schema-facilitated motor memory consolidation"

<p>Dataset containing&nbsp;the raw as well as the subject-level data for the two experiments reported in the manuscript &quot;Sleep does not influence schema-facilitated motor memory consolidation&quot;.</p>

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

MESA inlists for 'Revisiting the Red Giant Branch Hosts KOI-3886 and $\iota$ Draconis. Detailed Asteroseismic Modeling and Consolidated Stellar Parameters' by Campante et al.

<p>MESA&nbsp;inlists&nbsp;used in preparation of the paper &#39;Revisiting the Red Giant&nbsp;Branch Hosts KOI-3886 and $\iota$ Draconis. Detailed Asteroseismic Modeling and Consolidated Stellar Parameters&#39; by Campante et al. Two folders&nbsp;are provided in the .zip&nbsp;file:</p> <ul> <li>TL_Pipeline &mdash;&nbsp;inlists (MESA release version 12115) used to build the grid of stellar models used in Sect. 4.1 of the paper.</li> <li>JO_Pipeline &mdash;&nbsp;inlists (MESA release version 12778) used to build both grids of stellar models used in Sect. 4.2 of the paper.</li> </ul>

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

Data set for model validation in "Simulating ice segregation and thaw consolidation in permafrost environments with the CryoGrid community model"

<p>This upload contains the data set for model validation in the manuscript &quot;Simulating ice segregation and thaw consolidation in permafrost environments with the CryoGrid community model&quot;.</p>

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

A Study of ASP2215 in Combination With Induction and Consolidation Chemotherapy in Patients With Newly Diagnosed Acute Myeloid Leukemia.

ClinicalTrials.gov study NCT02310321. IPD Sharing: YES. Countries: 3. Publications: 0.

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

Induction Chemo w/ABVD Followed by Brentuximab Vedotin Consolidation in Newly Diagnosed, Non-Bulky Stage I/II Hodgkin Lymphoma

ClinicalTrials.gov study NCT01578967. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View 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