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75 results for “Raw materials”
USE OF RAW MATERIALS AND PAINTS WHEN MAKING A SHORT-TERM ETUDE.
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Raw data associated with the zirconium ellagate material SU-102
<p>This Zenodo entry is comprised of the following datasets:</p> <p><strong>1. </strong>The folder '3D_ED_data.zip" contains raw 3D electron diffraction (3D ED) data as output by <a href="https://zenodo.org/record/3470096">Instamatic</a>. Its contents include an instrument log file (cRED_log.txt), as well as a folder with diffraction frames in formats compatible with processing using either <a href="https://zenodo.org/record/2545322#.XEW5sC0o8uU">REDp</a> (.mrc) and <a href="https://xds.mr.mpg.de/html_doc/XDS.html">XDS</a> (.smv), along with the appropriate input files. The folder also contains a folder of defocused diffraction frames showing the orientation of the crystal with respect to the selected area aperture throughout the data collection.</p> <p><strong>2. </strong>The folder "STEM.zip" contains scanning transmission electron microscopy images of cross-sectioned SU-102 crystals. The EMD file contains the images in the native Thermo Fischer format. TIF files of the individual images are also provided.</p> <p><strong>3. </strong>The folder "Lab-scale_EOC_removal.zip" contains the data points for the lab-scale adsorption/photodegradation studies of atenolol, diclofenac, and sulfamethazine using the zirconium ellagate SU-102.</p> <p> </p> <p> </p> <p> </p>
Fostering the circular economy by unlocking the secondary critical raw material potential of historical mine sites. A study in the Lousal Mine, southern Portugal
<p>Table s1: p-XRF results from the samples collected in the Lousal waste dump</p>
Correlation between the availability of supplementary material and raw research data in journals of the Agriculture Multidisciplinary area of WoS
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Raw allelic matrix and supplementary materials: Origin and dispersion pathways of guava in the Galapagos Islands inferred through genetics and historical records
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JRC - Raw materials demand for wind and solar PV technologies in the transition towards a decarbonised energy system - Materials demand database
<p>This dataset contains the results of the materials demand scenarios for wind and solar PV technologies developed in the following report by the European Commission's Joint Research Centre (JRC):</p> <p>Carrara S., Alves Dias P., Plazzotta B. and Pavel C., Raw materials demand for wind and solar PV technologies in the transition towards a decarbonised energy system, EUR 30095 EN, Publication Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-16225-4, doi:10.2760/160859, JRC119941</p> <p>The report can be found at the following link:</p> <p><a href="https://ec.europa.eu/jrc/en/publication/raw-materials-demand-wind-and-solar-pv-technologies-transition-towards-decarbonised-energy-system">https://ec.europa.eu/jrc/en/publication/raw-materials-demand-wind-and-solar-pv-technologies-transition-towards-decarbonised-energy-system</a></p>
Figure 2 from: Sarray DKA, Horiacha LM, Zhuravel IO, Fedosov AI (2020) HPLC study of phenolic compounds in Mirabilis jalapa raw material. Pharmacia 67(3): 145-152. https://doi.org/10.3897/pharmacia.67.e52585
Figure 2 The HPLC chromatogram of phenolic compounds in Mirabilis jalapa roots.
Figure 1 from: Sarray DKA, Horiacha LM, Zhuravel IO, Fedosov AI (2020) HPLC study of phenolic compounds in Mirabilis jalapa raw material. Pharmacia 67(3): 145-152. https://doi.org/10.3897/pharmacia.67.e52585
Figure 1 The HPLC chromatogram of phenolic compounds in Mirabilis jalapa flowers.
Figure 4 from: Sarray DKA, Horiacha LM, Zhuravel IO, Fedosov AI (2020) HPLC study of phenolic compounds in Mirabilis jalapa raw material. Pharmacia 67(3): 145-152. https://doi.org/10.3897/pharmacia.67.e52585
Figure 4 The HPLC chromatogram of phenolic compounds in Mirabilis jalapa herb.
Figure 3 from: Sarray DKA, Horiacha LM, Zhuravel IO, Fedosov AI (2020) HPLC study of phenolic compounds in Mirabilis jalapa raw material. Pharmacia 67(3): 145-152. https://doi.org/10.3897/pharmacia.67.e52585
Figure 3 The HPLC chromatogram of phenolic compounds in Mirabilis jalapa fruits.
CENTRE-PD Top 10 Publication Supplementary Material and Raw Data
<p>Supplementary material and Raw Data for CENTRE-PD Top 10.</p>
Raw ChIP-seq data of OsVAL2 overexpression materials, using an anti-FLAG antibody.
GEO Series GSE310633. Oryza sativa. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Raw R data; effect of plastic material on plants
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Raw R data; effect of plastic material on plants
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RAW_DATA: Flax-derived Carbon - A Highly Durable Electrode Material for Electrochemical-Double Layer Supercapacitors
<p>All raw data sets related to the manuscript labelled as: Flax-derived Carbon: A Highly Durable Electrode Material for Electrochemical Double Layer Supercapacitors</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.