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486 results for “Curation”

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ClinicalTrials.gov32/100

Chest Lymph Node Sampling in Patients With Advanced Lung Cancer to be Treated With Curative-intent Radiation Treatment

ClinicalTrials.gov study NCT04852588. IPD Sharing: NO. Countries: 1. Publications: 1.

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

A Study of Pembrolizumab in Patients With Relapsed Or Metastatic Osteosarcoma Not Eligible for Curative Surgery

ClinicalTrials.gov study NCT03013127. IPD Sharing: NO. Countries: 2. Publications: 1.

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

CaspoNEB: Efficacy and Safety of Caspofungin Aerosols for the Curative Treatment of Pneumocystis Pneumonia

ClinicalTrials.gov study NCT06892951. IPD Sharing: YES. Countries: 1. Publications: 12.

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

Patient-Centered Risk Adjusted Surveillance After Curative Resection of Colorectal Cancer

ClinicalTrials.gov study NCT02217865. IPD Sharing: Not stated. Countries: 1. Publications: 2.

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

Effect of I/R Injuries by Pringle Manoeuvre on the Prognosis of HCC Patients After Curative Hepatectomy

ClinicalTrials.gov study NCT00725335. IPD Sharing: Not stated. Countries: 1. Publications: 1.

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

Curative Efficacy of Pravastatine in Patients Presented Delayed Cutaneous and Subcutaneous Radio-induced Fibrosis

ClinicalTrials.gov study NCT01268202. IPD Sharing: Not stated. Countries: 1. Publications: 1.

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

Assessment of Frequency of Surveillance After Curative Resection in Patients With Stage II and III Colorectal Cancer

ClinicalTrials.gov study NCT00225641. IPD Sharing: Not stated. Countries: 1. Publications: 2.

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

Observation on the Curative Effect of Assisted Reproduction by TCM Multi-channel Interventional Therapy

ClinicalTrials.gov study NCT03078205. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Opening the door to the past: accessing phylogenetic, pathogen, and population data from museum curated bees

Open the record for dataset details and reuse information.

publicOct 2018View details →
dryad32/100

Aligned and curated mtDNA sequences from: Ancient DNA reveals interstadials as a driver of common vole population dynamics during the last glacial period

Open the record for dataset details and reuse information.

publicOct 2022View details →
dryad32/100

Data from: A curated and standardized adverse drug event resource to accelerate drug safety research

Open the record for dataset details and reuse information.

publicApr 2017View details →
dryad32/100

Supplementary tables S5, S7, S9, S10, original protein models fasta files used for alignments, aligned and manually curated protein modes files used for phylogenies (PHYLIP format), and phylogenetic trees of plant cell wall decomposition gene families from 44 basidiomycete genomes (.tre files)

Open the record for dataset details and reuse information.

publicJun 2020View details →
dryad32/100

Data from: A reference set of curated biomedical data and metadata from clinical case reports

Open the record for dataset details and reuse information.

publicNov 2018View details →
zenodo28/100

Curated set of cone bipolar cell morphologies for biophysical modelling

<p>This dataset contains 40 cone bipolar cell morphologies in the .swc file format (skeleton and radius) based on the e2006 EM dataset (Helmstaedter et al., 2013). All morphologies have been manually proof-read. Individual file names consist of the cell ID from the original EM dataset and the cell type following (Behrens et al., 2016).</p>

opencc-by-4.0Mar 2020View details →
dryad28/100

Genomic characterization and curation of UCEs improves species tree reconstruction: Supplementary Material S1

<p>Ultraconserved genomic elements (UCEs) are generally treated as independent loci in phylogenetic analyses. The identification pipeline for UCE probes does not require prior knowledge of genetic identity, only selecting loci that are highly conserved, single copy, without repeats, and of a particular length. Here we characterized UCEs from 11 phylogenomic studies across the animal tree of life, from birds to marine invertebrates. We found that within vertebrate lineages, UCEs are mostly intronic and intergenic, while in invertebrates, the majority are in exons. We then curated 4 different sets of UCE markers by genomic category from 5 different studies including: birds, mammals, fish, Hymenoptera (ants, wasps, and bees) and Coleoptera (beetles). Of genes captured by UCEs, we find that many are represented by 2 or more UCEs, corresponding to non-overlapping segments of a single gene. We considered these UCEs to be non-independent, merged all UCEs that belonged to a particular gene, constructed gene and species trees, and then evaluated the subsequent effect of merging co-genic UCEs on gene and species tree reconstruction. Average bootstrap support for merged UCE gene trees was significantly improved across all datasets apparently driven by the increase in loci length. Additionally, we conducted simulations and found that gene trees generated from merged UCEs were more accurate than those generated by unmerged UCEs. As loci length improves gene tree accuracy, this modest degree of UCE characterization and curation impacts downstream analyses and demonstrates the advantages of incorporating basic genomic characterizations into phylogenomic analyses.<br>  </p>

opencc-zeroAug 2020View details →
zenodo28/100

Figure 6 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334

Figure 6 Metridia gerlachei (Copepoda, Calanoida; female, MNA-12439) acquired with fluorescence microscopy (Congo Red, 1.5 mg/ml). This species is one of the most adapted species in the Antarctic region and can perform diel vertical migrations that highly influence the surrounding waters in terms of trophic relationships in Terra Nova Bay.

opencc-by-4.0Sep 2020View details →
zenodo28/100

Figure 1 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334

Figure 1 Sampling stations for IIIrd (yellow), Vth (blue), and Xth (red) expedition a overview of spatial extent in Antarctica b sampling stations in the Western Ross Sea c focus on Terra Nova Bay sampling stations. This map was produced using the collection of datasets "Quantarctica" (Matsuoka et al. 2017) and QGIS (QGIS Development Team 2020).

opencc-by-4.0Sep 2020View details →
zenodo28/100

Figure 5 from: Bonello G, Grillo M, Cecchetto M, Giallain M, Granata A, Guglielmo L, Pane L, Schiaparelli S (2020) Distributional records of Ross Sea (Antarctica) planktic Copepoda from bibliographic data and samples curated at the Italian National Antarctic Museum (MNA): checklist of species collected in the Ross Sea sector from 1987 to 1995. ZooKeys 969: 1-22. https://doi.org/10.3897/zookeys.969.52334

Figure 5 Paraeuchaeta exigua (Copepoda, Calanoida; female, MNA-12333) acquired with scanning electron microscopy (SEM). This is one of the most common species in the coastal area of Terra Nova Bay. It plays a key role in the neritic trophic chain and highly contributes to the total mesozooplanktic biomass.

opencc-by-4.0Sep 2020View details →
dryad28/100

Data from: Inferring new relations between medical entities using literature curated term co-occurrences

ABSTRACT Objectives Identifying new relations between medical entities, such as drugs, diseases, and side-effects, is typically a resource-intensive task, involving experimentation and clinical trials. The increased availability of related data and curated knowledge enables a computational approach to this task, notably by training models to predict likely relations. Such models rely on meaningful representations of the medical entities being studied. We propose a generic features vector representation that leverages co-occurrences of medical terms, linked with PubMed citations. Materials and Methods We demonstrate the usefulness of the proposed representation by inferring two types of relations: a drug causes a side effect, and a drug treats an indication. To predict these relations and assess their effectiveness, we applied two modeling approaches: multi-task modeling using neural networks, and single-task modeling based on gradient-boosting machines and logistic regression. Results These trained models, which predict either side effects or indications, obtained significantly better results than baseline models that use a single direct co-occurrence feature. The results demonstrate the advantage of a comprehensive representation. Discussion Selecting the appropriate representation has an immense impact on the predictive performance of machine learning models. Our proposed representation is powerful, as it spans multiple medical domains and can be used to predict a wide range of relation types. Conclusion The discovery of new relations between various medical entities can be translated into meaningful insights, for example, related to drug development or disease understanding. Our representation of medical entities can be used to train models that predict such relations, thus accelerating healthcare-related discoveries.

opencc-zeroJul 2019View details →
zenodo28/100

A Curated Corpus of Java Source Code based on Sourcerer (2015)

<p>Java corpus constructed for the JSEP paper based on the Sourcerer corpus.</p>

opencc-by-4.0Feb 2015View 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

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.