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412 results for “Verification”
Verification of the accuracy of the recent 50 years of tree growth and long-term change in intrinsic water-use efficiency using xylem Δ14C and δ13C in trees in an aseasonal tropical rainforest
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BRIC-23 GeneLab Process Verification Test: Staphylococcus aureus transcriptomic proteomic and metabolomic data
Microbes interact with humans in complex ways and understanding how they respond to the spaceflight environment is important to the success of future manned spaceflight missions. The BRIC-23 mission was designed to measure the response of Bacillus subtilis and Staphylococcus aureus to the spaceflight environment. This experiment aimed to produce high quality omics data from B. subtilis and S. aureus grown aboard the International Space Station (ISS) to allow comparison to matched ground controls. There were two primary objectives for this experiment: (1) Demonstrate all post-flight processes and operations required for successful completion of GeneLab Reference Missions conducted on ISS and (2) Generate high quality GeneLab Reference Mission omics data sets for two prokaryotic model organisms Bacillus subtilis and Staphylococcus aureus. Freezing Control Experiment: The BRIC hardware has significant thermal inertia thus the freezing rate of samples placed at -80 C is quite slow. This could affect RNA-sequencing proteomic and metabolic data sets. In an effort to understand how slow freezing could affect these data sets a control experiment was designed in which B. subtilis and S. aureus were grown in petri plates and either slow frozen to -80 C at a rate matching the BRIC-23 spaceflight samples or processed immediately to harvest RNA and protein. B.subtilis omics data is deposited in GLDS-138.
NARSTO 1998 Model-Intercomparison Study Verification Data: NARSTO-Northeast 1995 Surface Ozone, NO, and NOx Langley Data Center Data Set
NARSTO_NE_MODEL is the North American Research Strategy for Tropospheric Ozone (NARSTO) 1998 Model-Intercomparison Study Verification Data: NARSTO-Northeast 1995 Surface Ozone, NO, and NOx Langley Data Center Data Set. It supports the NARSTO Model Intercomparison activity described in the report of a workshop that was held in Washington, DC on May 27-28, 1998. The intercomparison activity will compare meteorological, emissions, and air quality models that are used to estimate ozone concentrations in the northeastern United States. The air quality models are used to estimate how ambient ozone concentrations will change in response to changes in VOC and NOx emissions. These data are a subset of the measurements made during the NARSTO-Northeast 1995 intensive field campaign and will be used to verify model predictions. Included are surface one-hour average O3, NO, and NOx measurement results from all reporting sources for 1995. ASCII data files are available for specific time intervals and the full monitoring period. A measurement station description file is included.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Verification of predicted hotspots of Alu/Alu-mediated rearrangements in the human genome
GEO Series GSE100590. Homo sapiens. 89 samples. Type: Genome variation profiling by array.
Effect of Terpenes from Poria Cocos: Verification of Therapeutic Modes of Action for Alzheimer’s Disease using Molecular Docking, Drug-induced Transcriptomes and Diffusion Network [SW1783]
GEO Series GSE232868. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
Bioinformatics prediction and experimental verification of a novel microRNA for myocardial fibrosis after myocardial infarction in rats
GEO Series GSE208159. Rattus norvegicus. 6 samples. Type: Non-coding RNA profiling by array.
The elucidation of the anti-inflammatory mechanism of EMO in rheumatoid arthritis through an integrative approach combining bioinformatics and experimental verification
GEO Series GSE232679. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Differences in serum proteins in traditional Chinese medicine constitutional population: analysis and verification
GEO Series GSE140769. Homo sapiens. 89 samples. Type: Protein profiling by protein array.
MY-CLIP verification study
GEO Series GSE138649. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Verification and rectification of cell type-specific splicing of a Seckel syndrome-associated ATR mutation using iPS cell model
GEO Series GSE121384. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
GMM-Demux: sample demultiplexing, multiplet detection, experiment planning and novel cell type verification in single cell sequencing.
GEO Series GSE152981. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Cardiac Fibrosis in Dilated Cardiomyopathy: Transcriptomics Insights, Histological Correlations, and Organoid Model Verifications [RNA-seq II]
GEO Series GSE246298. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Verification of a custom chip which measures abundance, isoforms and alleles in Drosophila
GEO Series GSE31750. Drosophila simulans. 15 samples. Type: Expression profiling by array; Other.
Whole transcriptome bisufilte sequencing for multiple species [NSUN2 verification]
GEO Series GSE160594. Homo sapiens. 5 samples. Type: Methylation profiling by high throughput sequencing.
PAN14 Author Identification: Verification
<p>We provide you with a training corpus that comprises a set of author verification problems in several languages/genres. Each problem consists of some (up to five) known documents by a single person and exactly one questioned document. All documents within a single problem instance will be in the same language and best efforts are applied to assure that within-problem documents are matched for genre, register, theme, and date of writing. The document lengths vary from a few hundred to a few thousand words.</p> <p>More information: <a href="https://pan.webis.de/clef14/pan14-web/authorship-verification.html">Link</a></p>
A Verification Technique for Real-Time Information Flow Security
<p>Evaluation artifacts accompanying the PhD thesis of Christopher Gerking, concerning the chapter on "A Verification Technique for Real-Time Information Flow Security".</p>
PAN15 Author Identification: Verification
<p>We provide you with a training corpus that comprises a set of author verification problems in several languages/genres. Each problem consists of some (up to five) known documents by a single person and exactly one questioned document. All documents within a single problem instance will be in the same language. However, their genre and/or topic may differ significantly. The document lengths vary from a few hundred to a few thousand words.</p> <p>The documents of each problem are located in a separate folder, the name of which (problem ID) encodes the language of the documents. The following list shows the available sub-corpora, including their language, type (cross-genre or cross-topic), code, and examples of problem IDs:</p> <p>Language; Type; Code; Problem IDs<br> Dutch; Cross-genre; DU; DU001, DU002, DU003, etc.<br> English; Cross-topic; EN; EN001, EN002, EN003, etc.<br> Greek; Cross-topic; GR; GR001, GR002, GR003, etc.<br> Spanish; Cross-genre; SP; SP001, SP002, SP003, etc.</p> <p>The ground truth data of the training corpus found in the file <code>truth.txt</code> include one line per problem with problem ID and the correct binary answer (Y means the known and the questioned documents are by the same author and N means the opposite). For example:</p> <pre>EN001 N EN002 Y EN003 N ...</pre>
Verification datasets for publication "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates" - UAE weather station data
<p>These are excel files containing measurement data for 2015 in the UAE, used for the submission to GMD journal, "Seasonal and diurnal performance of daily forecasts with WRF-NOAHMP over the United Arab Emirates". All data is courtesy of NCM, UAE.</p> <p>Also included is a station_ids.csv file. </p>
Verification of CcpA gene knockout
<p>To verify whether the <i>CcpA</i> gene was successfully deleted, we designed the primer for PCR. The primer was designed across the upstream and downstream sequences of the <i>CcpA </i>gene, with a size of about 1827bp. Results showed that two (1827bp and 1985bp) PCR products (WT2 and KO2) were produced, then the amplified DNA products of WT2 and KO2 were electrophoresed on a 1% (wt/vol) agarose gel, and sequenced by Shanghai Sangon Biological Engineering Technology and Services Co., Ltd. for further verification. The results of DNA sequencing confirmed that the <i>CcpA </i>deletion strain was successfully constructed.</p>
Verification dataset of "A Base Multilayer DNA Storage Architecture Enables Real-Time Decoding to Overcome Latency"
<p>This is a dataset for the proposed base-layered DNA data storage. </p> <p>The first color film “Becky Sharp” (54.79 MB) was encoded into ~10.08 million DNA strands<span lang="EN-US">, achieving a sustained readout throughput of 459 kbit/s</span>.</p> <p>For the film, it was used to verify the performance of the proposed DNA data storage method, only for academic research, not related to the content.</p> <p>The dataset consists of three categories: the original data, the oligo sequence data, and the sequencing data (in BIN and FASTA formats).</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.