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5,738 results for “Standards”
FIGURE 9 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 9. Correlation between the Pyrenean composite standard and the Middle Devonian composite standard. The numbers represent the taxa listed in the range chart (Figures 5 and 6) and Appendix. See also legend in Figure 4.
FIGURE 1. 1 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 1. 1. Middle Devonian paleogeographic situation with indication of the study area (courtesy of R. Blakey, NAU Geology), 2. Map of Paleozoic rocks on the Iberian Peninsula and position of figure 1.3, 3. Location of the studied Devonian outcrops.
FIGURE 4 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 4. Graphic correlation between the La Guàrdia d'Ares section and the composite standard (third round). The numbers represent the taxa listed in the range chart (Figures 5 and 6), error boxes indicate the sampling intervals.
FIGURE 6 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 6. Conodont range chart based on the Spanish Central Pyrenean sections (continued). Precise CSU values are given in the Appendix.
FIGURE 3 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 3. Graphic correlation between the Villech section and the composite standard for the Spanish Central Pyrenees (third round). The numbers represent the taxa listed in the range chart (Figures 5 and 6), the error boxes indicate the sampling intervals. (sem./lat.: semialternans/latifossatus).
FIGURE 5 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 5. Conodont range chart based on the Spanish Central Pyrenean sections. Precise CSU values are given in the Appendix.
FIGURE 2. 1 in Graphic correlation of the upper Eifelian to lower Frasnian (Middle-Upper Devonian) conodont sequences in the Spanish Central Pyrenees and comparison with composite standards from other areas
FIGURE 2. 1. Map of Paleozoic rocks on the Iberian Peninsula and position of Figure 2.2 (black square), 2. Structural geological map of the Spanish Pyrenees with indication of the studied area (white square) and 2. Structural geological map of the Spanish Pyrenees with indication of the studied area (red square) and the most important faults and thrust faults, FNP: North Pyrenean Fault, CPP: Petites Pyrénées thrust fault, CFN: Frontal North Pyrenean thrust fault, CFS: Frontal South Pyrenean thrust fault [modified from Barnolas and Pujalte (2004)], 3. Map of the Devonian facies areas and subdivision of the southern facies area in the southern Spanish Pyrenees [modified from Zwart (1979)], studied area in black square, location of the sections indicated by black stars.
Dataset related to article "On the extension of the use of a standard operating procedure for nicotine, glycerol and propylene glycol analysis in e-liquids using mass spectrometry"
Open the record for dataset details and reuse information.
Dataset for the paper "Yield Performance of Standard Multicrystalline, Monocrystalline, and Cast-Mono Modules in Outdoor Conditions"
<p>Dataset for the paper "Yield Performance of Standard Multicrystalline, Monocrystalline, and Cast-Mono Modules in Outdoor Conditions", published at Energies.</p>
Lab_33_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_33_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Data Access Made Easy: flexible, on the fly data standardization and processing (for research automatic weather stations)
<pre>Automatic Weather Stations (AWS) deployed in the context of research projects provide very valuable data thanks to the flexibility they offer in term of measured meteorological parameters, choice of sensors and quick deployment and redeployment. However this flexibility is a challenge in terms of metadata and data management. Traditional approaches based on networks of standard stations can not accommodate these needs and often no tools are available to manage these research AWS, leading to wasted data periods because of difficult data reuse, low reactivity in identifying potential measurement problems, and lack of metadata to document what happened. The Data Access Made Easy (DAME) effort is our answer to these challenges. At its core, it relies on the mature and flexible open source MeteoIO meteorological pre-processing library. It was originally developed as a flexible data processing engine for the needs of numerical models consuming meteorological data and further developed as a data standardization engine for the Global Cryosphere Watch (GCW) of the World Meteorological Organization (WMO). For each AWS, a single configuration file describes how to read and parse the data, defines a mapping between the available fields and a set of standardized names and provides relevant Attribute Conventions Dataset Discovery (ACDD) metadata fields, if necessary on a per input file basis. Low level data editing is also available, such as excluding a given sensor, swapping sensors or merging data from another AWS, for any given time period. Moreover an arbitrary number of filters can be applied on each meteorological parameter, restricted to specific time periods if required. This allows to describe the whole history of an AWS within a single configuration file and to deliver a single, consistent, standardized output file possibly spanning many years, many input data files and many changes both in format and available sensors. Finally, all configuration files are versionned in order to document their history. A web interface has been developed that allows data owners to manage the configuration files for their stations, refresh their data at regular intervals, inspect the data QA log files and allow on-demand data generation. The same interface allows other users to request data on-demand for any time period.<br><br>This presentation and software has received funding from the World Meteorological Organization under grant agreement No. 29539/2022-1.9 as well as the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101003472 (Arctic Passion). It has also been supported by the WSL/SLF over many years and projects.</pre>
Linked collectors and determiners for: NEON Biorepository Mammal Collection (Vouchers [Standard Sampling]).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Mammal Collection (Vouchers [Standard Sampling])". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f28219f3-49cd-4b55-99ad-39f3ced87ddd">https://bionomia.net/dataset/f28219f3-49cd-4b55-99ad-39f3ced87ddd</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f28219f3-49cd-4b55-99ad-39f3ced87ddd">https://gbif.org/dataset/f28219f3-49cd-4b55-99ad-39f3ced87ddd</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Mammal Collection (Vouchers [Outside of Standard Sampling]).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Mammal Collection (Vouchers [Outside of Standard Sampling])". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/9f5e2bfa-8ea0-46c5-bc6b-909a82f67af4">https://bionomia.net/dataset/9f5e2bfa-8ea0-46c5-bc6b-909a82f67af4</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/9f5e2bfa-8ea0-46c5-bc6b-909a82f67af4">https://gbif.org/dataset/9f5e2bfa-8ea0-46c5-bc6b-909a82f67af4</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Standardized Bumblebee (Bombus) Surveys in Vermont.
Natural history specimen data linked to collectors and determiners held within, "Standardized Bumblebee (Bombus) Surveys in Vermont". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9">https://bionomia.net/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9">https://gbif.org/dataset/b31d76f9-c6ff-4324-9984-c6bd8a1938c9</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Aquatic Plant, Bryophyte, Lichen and Macroalgae Collection (Herbarium Vouchers [Standard Sampling]).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Aquatic Plant, Bryophyte, Lichen and Macroalgae Collection (Herbarium Vouchers [Standard Sampling])". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/dd1b2dbc-1a38-4212-a3d9-893a160da252">https://bionomia.net/dataset/dd1b2dbc-1a38-4212-a3d9-893a160da252</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/dd1b2dbc-1a38-4212-a3d9-893a160da252">https://gbif.org/dataset/dd1b2dbc-1a38-4212-a3d9-893a160da252</a>. Formatted as a Frictionless Data package.
Mechanical Simulation Analysis of skeleton gyroid structure (standard, double and graded)_Spoke11_WP4_Task4.1_MOST
<p>These data provide a foundation for understanding how each skeletal configuration handles stress, with practical implications for applications requiring tailored energy absorption and strength properties in lattice structures.</p>
3D Printing Simulation Analysis of skeleton gyroid structure (standard, double and graded)_Spoke11_WP4_Task4.1_MOST
<p>These findings provide a comprehensive understanding of the challenges and considerations in 3D printing complex lattice structures, emphasizing the importance of residual stress management, thermal stability, and print direction alignment for optimal mechanical performance.</p>
Standardized Competency Catalog used at TUM
The standardized competency catalog used at TUM
AraVeLex: Modern Standard Arabic Verbal lexicon
<p>Paralex lexicon of Modern Standard Arabic Verbs, providing inflected forms in orthography and phonemic transcription.</p>
Trash to Treasure: How the Renewable Fuel Standard can use garbage to pay for electric vehicles - summary results
<p>Summary results for submitted article: Trash to Treasure: How the Renewable Fuel Standard can use garbage to pay for electric vehicles</p> <p> </p>
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.