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Dataset results
57 results for “reagents”
Raw data for Article "Copper-Catalyzed Oxyalkynylation of C−S Bonds in Thiiranes and Thiethanes with Hypervalent Iodine Reagents"
<p>Raw data for the Article "Copper-Catalyzed Oxyalkynylation of C−S Bonds in Thiiranes and Thiethanes with Hypervalent Iodine Reagents" published in <em>Org. Lett.</em> <strong>2020</strong>, <em>22</em>, 422-427. <a href="https://pubs.acs.org/doi/pdf/10.1021/acs.orglett.9b04157">https://pubs.acs.org/doi/pdf/10.1021/acs.orglett.9b04157</a></p> <p>The number of the folders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.</p>
Raw Data for Article "Access to Vinyl Ethers and Ketones with Hypervalent Iodine Reagents as Oxy-Allyl Cation Synthetic Equivalents"
<p>NMR, IR and MS raw data for the article "Access to Vinyl Ethers and Ketones with Hypervalent Iodine Reagents as Oxy-Allyl Cation Synthetic Equivalents" published in Angewandte Chemie in 2020, DOI: 10.1002/anie.202006707 and 10.1002/ange.202006707</p> <p>The number of the folders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.</p>
Synchronized reagent delivery in double emulsions for triggering chemical reactions and gene expression
<p>Data underlying the figures in the publication “Synchronized reagent delivery in double emulsions for triggering chemical reactions and gene expression”, published in Small Methods.</p> <p>Table of contents:</p> <p>1. Figure 2C; Origin file containing all data and analysis for Figure 2C. Requires Origin Software to open.</p> <p>2. Figure 3; FlowJo Workspace for data analysis and fcs raw data acquired from flow cytometer for Figure 3B and 3C. Requires FlowJo software to open.</p> <p>Raw data file names:</p> <p>200721 FDG in PVA after prod_FDG sample 6_006.fcs</p> <p>200721 FDG in PVA&SDS 4 h after prod_FDG sample 4 PVA shake_002.fcs</p> <p>200721 FDG in PVA&SDS 4 h after prod_FDG sample 4 SDS 001 shake_004.fcs</p> <p>200721 FDG in PVA&SDS 22 h after prod_FDG sample 4 PVA shake_002.fcs</p> <p>200721 FDG in PVA&SDS 22 h after prod_FDG sample 4 SDS 001 shake_004.fcs</p> <p>3. Figure 4BC; Origin file containing all data and analysis for Figure 4B and 4C. Requires Origin Software to open.</p> <p>4. Figure 5; Origin file containing all data and analysis for Figure 5D. Requires Origin Software to open.</p> <p>File Figure 5_201215-new LUVs 500 mM DH5alpha: FlowJo Workspace for data analysis and fcs raw data acquired from flow cytometer for Figure 5B. Requires FlowJo software to open.</p> <p>Raw data file names:</p> <p>201215-new LUVs 500 mM-DH5alpha_sample 1 18h after prod_012.fcs</p> <p>201215-new LUVs 500 mM-DH5alpha_sample 3 18h after prod- 05%SDS_018.fcs</p> <p>5. Figure S2; PDF files, report from DLS instrument.</p> <p>6. Figure S4; Excel file containing the values extracted from microscopy images for Figure S4.</p> <p>7. Figure S5; FlowJo Workspace for data analysis and fcs raw data acquired from flow cytometer for Figure S5. Requires FlowJo software to open.</p> <p>Raw data file names:</p> <p>200721 FDG in PVA after prod_FDG sample 6_006.fcs</p> <p>200721 FDG in PVA&SDS 4 h after prod_FDG sample 4 SDS 001 shake_004.fcs</p> <p>200721 FDG in PVA&SDS 4 h after prod_FDG sample 5 SDS 01 shake_008.fcs</p> <p>200721 FDG in PVA&SDS 4 h after prod_FDG sample 6 SDS 0001 shake_006.fcs</p> <p>200721 FDG in PVA&SDS 22 h after prod_FDG sample 4 SDS 001 shake_004.fcs</p> <p>200721 FDG in PVA&SDS 22 h after prod_FDG sample 5 SDS 01 shake_008.fcs</p> <p>200721 FDG in PVA&SDS 22 h after prod_FDG sample 6 SDS 0001 shake_006.fcs</p> <p>8. Figure S6; Origin file containing all data and analysis for Figure S6 left-Requires Origin Software to open-, and Excel file containing the values from 96 well plate measurements used for Figure S6 right.</p> <p>9. Figure S7; Excel files containing the values from 96 well plate measurements used for Figure S7 left, and the values extracted from microscopy images for Figure S7 right.</p> <p>10. Figure S9; FlowJo Workspace for data analysis and fcs raw data acquired from flow cytometer for Figure S9. Requires FlowJo software to open.</p> <p>Raw data file names:</p> <p>201215-new LUVs 500 mM-DH5alpha_sample 1 3h30min after prod_005.fcs</p> <p>201215-new LUVs 500 mM-DH5alpha_sample 1 18h after prod_012.fcs</p> <p>201215-new LUVs 500 mM-DH5alpha_sample 1 30min after prod_001.fcs</p> <p>201215-new LUVs 500 mM-DH5alpha_sample 3 3h30min after prod - 05%SDS_008.fcs</p> <p>201215-new LUVs 500 mM-DH5alpha_sample 3 18h after prod- 05%SDS_018.fcs</p>
Supplementary material 1 from: Thanayutsiri T, Charoenying T, Patrojanasophon P, Pamornpathomkul B, Opanasopit P, Ngawhirunpat T, Rojanarata T (2023) Facile, sensitive and reagent-saving smartphone-based digital image colorimetric assay of captopril tablets enabled by long-pathlength RGB acquisition. Pharmacia 70(4): 1511-1519. https://doi.org/10.3897/pharmacia.70.e114927
Supplementary data
CHARACTERISTICS OF REAGENTS TO INCREASE OIL RECOVERY
Open the record for dataset details and reuse information.
Squeegee: de novo identification of reagent and laboratory induced microbial contaminants in low biomass microbiomes
<p> </p> <p>Computational analysis of host-associated microbiomes has opened the door to numerous discoveries relevant to human health and disease. However, contaminant sequences in metagenomic samples can potentially impact the interpretation of findings reported in microbiome studies, especially in low biomass environments. Our hypothesis is that contamination from DNA extraction kits or sampling lab environments will leave taxonomic "bread crumbs” across multiple distinct sample types, allowing for the detection of microbial contaminants when negative controls are unavailable. To test this hypothesis we implemented Squeegee, a de novo contamination detection tool. We tested Squeegee on simulated and real low biomass metagenomic datasets. On the low biomass samples, we compared Squeegee predictions to experimental negative control data and show that Squeegee accurately recovers known contaminants. We also analyzed 749 metagenomic datasets from the Human Microbiome Project and identified likely previously unreported kit contamination. Collectively, our results highlight that Squeegee can identify microbial contaminants with high precision.</p>
Squeegee: de novo identification of reagent and laboratory induced microbial contaminants in low biomass microbiomes, simulation dataset 0.5% spike-in contaminant sequences
<p>Computational analysis of host-associated microbiomes has opened the door to numerous discoveries relevant to human health and disease. However, contaminant sequences in metagenomic samples can potentially impact the interpretation of findings reported in microbiome studies, especially in low biomass environments. Our hypothesis is that contamination from DNA extraction kits or sampling lab environments will leave taxonomic "bread crumbs” across multiple distinct sample types, allowing for the detection of microbial contaminants when negative controls are unavailable. To test this hypothesis we implemented Squeegee, a de novo contamination detection tool. We tested Squeegee on simulated and real low biomass metagenomic datasets. On the low biomass samples, we compared Squeegee predictions to experimental negative control data and show that Squeegee accurately recovers known contaminants. We also analyzed 749 metagenomic datasets from the Human Microbiome Project and identified likely previously unreported kit contamination. Collectively, our results highlight that Squeegee can identify microbial contaminants with high precision.</p> <p> </p> <p>Simulation Dataset 0.5% contaminant spike-in. </p>
Organic pesticide database with 716 molecules analyzed with chemical ionization mass spectrometry. Reagent ions: bromide, protonated acetone, hydronium ion, dioxide.
<p>The dataset joins the measurements output of two standard mixtures from GALAB Laboratories, containing 404 and 312 pesticides. The measurements were conducted at Karsa Oy with a thermal desorption multi-scheme chemical ionization inlet operating at atmospheric pressure, coupled to a linear trap quadrupole orbitrap mass spectrometer.</p> <p>The dataset contains:</p> <ul> <li>name of the compound</li> <li>CAS identifier</li> <li>SMILES</li> <li>signal of the compound with a sample analyzed at a specific concentration and with a specific ionization method.</li> </ul> <p>Reagent ions:</p> <ul> <li>bromide</li> <li>protonated acetone</li> <li>hydronium ion</li> <li>dioxide</li> </ul> <p>Sample concentrations:</p> <ul> <li>10 pg/µl</li> <li>20 pg/µl</li> <li>100 pg/µl</li> <li>1 ng/µl</li> <li>2,5 ng/µl</li> </ul> <p> </p> <p>The dataset has been analysed in the publications:</p> <ul> <li>Bortolussi, F., Sandström, H., Partovi, F., Mikkilä, J., Rinke, P., and Rissanen, M.: Technical note: Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning, Atmos. Chem. Phys., 25, 685–704, https://doi.org/10.5194/acp-25-685-2025, 2025.</li> </ul>
Evaluation of Skin Testing Reagents for Penicillin Allergy
ClinicalTrials.gov study NCT01818336. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: DualPhos: a versatile, chemoselective reagent for two-carbon aldehyde to latent (E)-alkenal homologation and application in the total synthesis of phomolide G
Open the record for dataset details and reuse information.
Gene expression of mouse colon organoids after the removal of inflammatory reagents.
GEO Series GSE153175. Mus musculus. 6 samples. Type: Expression profiling by array.
Antigen-Multimers: Specific, Sensitive, Precise, and Multifunctional High-Avidity CAR-Staining Reagents
GEO Series GSE169086. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
Carbodiimide reagents for the chemical probing of RNA structure in cells
GEO Series GSE118309. Homo sapiens; Mus musculus. 42 samples. Type: Other.
A new reagent for in vivo structure probing of RNA G and U residues that improves RNA structure prediction alone and combined with DMS
GEO Series GSE254895. Escherichia coli. 33 samples. Type: Other.
Mouse colon organoids treated with inflammatory reagents.
GEO Series GSE153178. Mus musculus. 15 samples. Type: Expression profiling by array.
Transcriptional profiling of peripheral blood - comparison of results obtained from samples stored in two RNA stabilizing reagents
GEO Series GSE29487. Homo sapiens. 14 samples. Type: Expression profiling by array.
Non-invasive Melanoma Assessment Using a Topical Fluorescence Reagent and Optical Imaging
ClinicalTrials.gov study NCT02056522. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Clinical Specimens Testing Program of Dengue Antigen Detection Reagents
ClinicalTrials.gov study NCT01917422. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Non-invasive Melanoma Assessment Using a Topical Fluorescence Reagent and Optical Imaging
ClinicalTrials.gov study NCT02193581. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparative Evaluation of the Performance of Different Thromboplastin Reagents on Prothrombin Time and Factorial Assays in Situations of Isolated Extrinsic Pathway Factor Deficiency or Liver Damage.
ClinicalTrials.gov study NCT06705829. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
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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.